311results about How to "Optimal Control Strategy" patented technology

The invention provides a hierarchical protection control system facing a regional power grid. The hierarchical protection control system comprises an in-situ level protection device, a substation area protection control system and a wide area protection control system, wherein the in-situ level protection device is configured according to a traditional protection scheme and adopts a direct sampling direct trip mode or a direct sampling network trip mode; the substation area protection control system is configured according to substations or voltage classes, utilizes an information sharing advantage to improve the backup protection performance, realizes protection functions of backup protection, redundancy protection, failure protection, and the like, and control functions of spare power automatic switching, low-frequency and low-voltage load shedding, and the like, and adopts a network sampling network trip mode; and the wide area protection control system is configured according to areas, realizes functions of wide area backup protection, self-adaptive adjustment of protection fixed values, low-frequency and low-voltage load shedding, power grid state evaluation, safety pre-warning, and the like, and realizes the interaction and the sharing of information of intelligent transformer substations in the areas through a wide area communication net. The hierarchical protection control system has the advantages that the reliability and the selectivity of relay protection can be improved on the basis that protection configuration of the existing power grid is not changed, so high requirements of power grid interconnection, new energy access, and the like on relay protection are satisfied.

The present invention discloses an energy control method for parallel power system combination that made up by an engine and storage batteries. The method is based on the considering of the engine and the storage batteries works on respective optimum working points and takes maintaining the charge status of the storage batteries as the priority for the distribution of energy flow, and then takes the most economic fuel of the whole vehicle as the goal to coordinate so as to realize the optimum energy of the combination energy system and the best of performance of the whole vehicle. The present invention can carry out optimum energy flow distribution between the engine and the storage batteries effectively, namely, the engine and the storage batteries are leaded to work on respective optimum working points, which increases the overall energy efficiency of the combination power system.

The invention relates to the field of energy management of electric automobiles, and provides an energy management method for an electric automobile, so that the running cost of the hybrid power electric automobile is lowered. Automobile speed information of the electric automobile is collected and analyzed, and the running working condition type of the electric automobile is identified through the average automobile speed Va or / and the highest automobile speed Vmax of the electric automobile; the corresponding Markov probability transition torque is selected according to the working condition type, so that the predicted automobile speed Vk+n of the electric automobile is obtained; and according to the predicted automobile speed Vk+n, control commands are sent to an auxiliary power unit (APU) controller and a composite power supply controller through a composite power supply control strategy optimized by the Bellman dynamic programming theory, so that the discharge power of an APU system and a composite power supply is equal to the required power PND of a driving motor, and the power consumption of the composite power supply is the minimum. The energy management method is used for managing energy of the composite power supply of the electric automobile, so that the number of use times of a super-capacitor is increased, the working time of the APU system is shortened, and the fuel economy of the electric automobile is improved.

The invention belongs to the electric power technology field and relates to a regional power grid reactive power automatic control system. The system comprises a database module, a communication module, an analysis calculation module, a graphical display module, a statement management module as well as a system administration module; wherein, the communication module receives a measured data forwarded from a data acquisition and control system and sends the data to the calculation analysis module and at the same time stores the data in the database module; the analysis calculation module analyzes and calculates the measured data, forms a reactive voltage control strategy, and then downloads the data through the communication module; meanwhile, the data is transmitted to the graphical display module through the communication module to display the calculation analysis and the controlled result; the statement management module realizes the control result query, display and print; the system management module realizes the management to the whole system through the communication module. The invention can realize the automatic control of the whole process, thus eliminating the working intensity of the site operation personnel and improving the production efficiency.

The invention discloses a method for implementing flexible combined overload control for an aircraft in a large airspace. A combined measured value of an inertial navigation linear accelerometer and an angular speed meter is adopted as a control value, the technical difficulty in realizing overload control of a non-minimum phase system is solved by means of reconstructing a mathematical equation, asymptotic stability of an attach angle and a sideslip angle in a whole flying journey is completely realized, and the method is applicable to flexible small-space non-planar flying control for supersonic aircrafts with large-space variable trajectories. The method for implementing combined overload control has the advantages of intuitive structure, simple design and capability of completely meeting engineering application requirements.

The invention discloses a vehicle-road cooperative road traffic system, which comprises a road side system, an edge computing system, vehicle-mounted terminal equipment, a central cloud platform and an intelligent traffic management and control system. The road side system is deployed on a traffic road and is used for acquiring vehicle information in real time and acquiring multi-dimensional traffic information; the edge computing system is deployed on the edge side, close to the traffic road and a traffic data source, of the front end of the vehicle-road cooperative road traffic system, cooperates with the central cloud platform, and receives and executes an adjustment vehicle-road cooperative optimization control strategy of the central cloud platform; the vehicle-mounted terminal equipment is arranged in a vehicle, is in communication connection with the road side system or / and the edge computing system and is used for acquiring vehicle information and multi-dimensional traffic information in real time, and the central cloud platform is in communication connection with the edge computing system and is used for receiving edge node information of the edge computing system; and theedge computing system manages and controls traffic facilities according to the adjustment vehicle-road collaborative optimization control strategy of the central cloud platform and a control scheme,thereby realizing management and control of vehicle-road collaborative road traffic.

The invention discloses a semi-physical real-time simulation platform for a wind generating set and belongs to the technical field of clean energy. The simulation platform is mainly composed of an upper computer monitoring interface, a wind generating set simulation system, a controller simulation system, a current transformer controller and a variable pitch system. An upper computer is respectively connected with the wind generating set simulation system and the controller simulation system through Ethernet. The simulation platform can quickly develop and verify a control algorithm, can simulate operation characteristics of a real wind generating set, enables a controller to carry out comprehensive loop test before true machine set test, saves test cost, improves operation safety, can control the output power of a fan, stabilizes power grid fluctuation and provides a basic research platform for optimal operation of a wind power plant.

The invention discloses a camera shooting method and device for an intelligent terminal. The method includes the steps that an image collected through a rotary camera is displayed in a camera aperture of the intelligent terminal; a target object selected by a user in the image is acquired; the rotary camera is controlled to rotate according to the position of the target object so that the target position, in the camera aperture, of the target object can be displayed. According to the embodiment of the camera shooting method and device for the intelligent terminal, a control strategy of the rotary camera in the intelligent terminal is optimized, the target object selected by the user is intelligently displayed in the target position in camera aperture, operation time is shortened for the user, and the satisfaction degree of user experience is improved.

The invention provides a cooling load prediction based optimal control method of an ice-storage system. The method comprises the steps as follows: step one, total daily cooling load amount of an object of the ice-storage system is predicted; step two, whether the total daily cooling load amount of the object exceeds a proportion of total cold accumulation amount of the required ice-storage system is judged, if yes, a step three is executed, otherwise, the ice-storage system adopts a partial cold accumulation mode for cold supply, and then a step four is executed; step three, a corresponding cold accumulation mode is adopted for cold supply according to a priority level sequence of electricity price periods; and step four, during the electricity price valley period, the ice-storage system performs cold accumulation according to maximum cold accumulation power, and all cooling load is provided for the system by the cold accumulation amount. According to the invention, the method based on cooling load prediction and priority ordering is adopted to optimize a control strategy of the ice-storage air-conditioning system, and the economic efficiency of the operation of the ice-storage system is improved.

The invention discloses a vulnerable line recognition method for a power distribution network, and the method comprises the steps: calculating the active degree and improved betweenness of a line according to a system structure of the power distribution network; calculating the potential safety hazard vulnerability of the line according to the load impact and the condition of a fault line; calculating the weight coefficient of each index through an analytic hierarchy process, integrating all indexes and factors according to the weights, and obtaining the vulnerability index of the line of thepower distribution network. According to the scheme of the invention, the method gives full consideration to the structural characteristics and operation characteristics of the power distribution network. Compared with a conventional vulnerability evaluation index, the indexes can reflect the importance of the line in a system topological structure, and also can reflect the potential safety hazardvulnerability of the line under the load impact and fault line breakage. The vulnerable line in the power distribution network can be recognized more reasonably and effectively according to the calculated value of the integrated vulnerability index.

The invention relates to a four-wheel drive pure electric vehicle hardware-in-the-loop simulation experimental system. The system comprises a drive motor and controller subsystem, an electric dynamometer and controller subsystem, torque and rotational speed sensors, a vehicle dynamic model real-time simulation subsystem and a signal detection and analysis subsystem. The system achieves pure electric vehicle four-wheel independent drive via the motor and controller subsystem, and achieves simulation of vehicle travel load via the electric dynamometer and controller subsystem. Vehicle dynamic response is achieved by operating a real-time simulation model through a real-time controller, and signal input, output and conditioning of a vehicle control unit are achieved by the aid of an FPGA (field programmable gate array). The system is capable of performing hardware-in-the-loop simulation for four-wheel drive pure electric vehicles to achieve rapid development and product testing of a vehicle drive system, and has the advantages of energy saving, safety, rapidness and low cost.

The invention relates to an energy consumption simulation method and device for an air conditioning system. The method comprises the steps that cold load data are obtained; a control scheme is generated according to the cold load data; the comprehensive energy efficiency ratio of the control scheme is calculated; and an energy-saving control scheme in the control scheme is confirmed according to the comprehensive energy efficiency ratio. By means of the energy consumption simulation method for the air conditioning system, advance prediction of energy consumption of the air conditioning systemcan be realized, the air conditioning system can realize the optimal equipment type selection and the optimal control strategy in the early stage of design, the actual operation of the system is madeto be in the optimal level, and the operation efficiency is improved.

The invention provides a method for controlling a slip mode variable structure of a brushless direct current motor based on a power exponential reaching law. The method comprises the following steps of S1, analyzing a mathematics model of the brushless direct current motor; S2, designing a slip mode controller; combining a power reaching law and an exponential reaching law, so as to obtain the improved reaching law-power exponential reaching law, and calculate the slip mode control rate at the current time; S3, setting a current loop and a speed loop for controlling the brushless direct current motor, wherein the current loop adopts the integral and proportional control type, and the speed loop adopts the slip mode variable structure control type using the power reaching law; S4, repeatedly updating the value of slip mode control rate i, so as to control the brushless direct current motor. The method has the advantages that the control quantity on the brushless direct current motor adopts three adjustable parameters, so that the control and adjusting are more flexible; a control strategy with high control quality, simple type and convenient implementing on the brushless direct current motor is provided.

The invention relates to a control method of the traction braking level of a rail train. The control method comprises the steps that train running mode information is acquired, wherein a TCMS system redundantly acquires traction braking level information output by a signal system of an automatic driving mode or traction braking level information output by a controller of a manual driving mode through a remote input and output unit (RIOM); and real-time communication diagnosis is carried out on the remote input and output unit (RIOM), and the traction braking level information collected by theremote input and output unit (RIOM) is used for controlling the traction braking level of the rail train in an automatic driving mode or a manual driving mode correspondingly. According to the controlmethod, through redundant acquisition, real-time diagnosis and logical judgment of signals in a train network control system, the control strategy of train traction braking level control is optimized, the real-time and synchronization of signal transmission are improved, the availability of vehicles is improved, and the advantages of reliability and safety of centralized control of the train network control system are brought into play.

The invention discloses an auto-disturbance rejection position servo system optimization design method based on an improved CPSO. By aiming at problems of permanent magnet synchronous motor servo systems on high position control precision, fast response, and stable performance, a double-loop control structure is adopted, and a PMSM auto-disturbance rejection position servo control system is established. By aiming at a parameter setting problem of an auto-disturbance rejection position controller, the improved Chaos Particle Swarm Optimization (CPSO) is provided. By adopting the CPSO, a position of a particle is initialized according to cubic chaotic mapping, and an index self-adaptive way having adjustable parameters is used to adjust inertia weight in a non-linear way, and at the same time, the position of the particle is updated by adopting a chaos and stability alternate way, and therefore the convergence rate and the global optimization ability of the CPSO are effectively improved, and the CPSO is used for the optimization of the auto-disturbance rejection position controller parameters. By combining with a fitness function including position control requirements, the optimization design of the PMSM position servo control system is realized, the position control precision and the response speed of the servo system are improved, and a strong disturbance rejection ability is provided.

The invention relates to a speed regulating and energy saving control method for a multi-pump station municipal drainage pipe network system. In the operation of the traditional drainage pump station, mainly relies on the labor experience to control the start, stop, operation and volume switching of a drainage pump are controlled mainly according to worker experience. According to the invention, by combining the mechanical characteristic of a turbine and the pipe network characteristic of a water pump, a water pump characteristic equation of a drainage system is obtained with methods such as parabola fitting, exponential curve fitting and the like; the numbers of single pump station speed-regultion pumps and constant-speed pumps are determined according to a water pump discharge-delivery lift characteristic curve; an optimum control method is used for realizing the energy saving control method for a pump station where multiple speed-regulation pumps operate in the mode of parallel connection; a pipe network optimization control module and energy saving control strategy of a multi-pump station is obtained according to constraint conditions of pipe network operation condition,a manhole, a pipeline, an impunding reservior and the like; and through feeding back control information to a bottom layer PLC (programmable logic controller) of the drainage system, the energy saving control of the whole system pump station is realized, and the unattended pump control is achieved.

The invention discloses a foot type robot motion control method and system based on deep reinforcement learning. The foot type robot motion control method based on the deep reinforcement learning comprises the steps that a foot type robot 3D model is established; reward and punishment functions are designed; a motion network and a target motion network are established, and network initialization is completed; controlled quantity is generated by using the motion network to obtain a state of a robot at a next moment, and a reward and punishment value is calculated; a certain number of samples are selected randomly, a state-motion value of a target evaluation network is calculated, and output of the evaluation network is updated according to a Bellman equation; a weight of the motion networkis updated by using the evaluation network; the target evaluation network and the target motion network are updated by using the evaluation network and the weight of the motion network; the steps arerepeated until network convergence; and a control instruction of the robot motion is obtained according to the motion network. According to the foot type robot motion control method and system based on the deep reinforcement learning, a foot type robot is enabled to realize the high-efficiency and stable movement under unknown environments.

The invention relates to a reactive voltage automatic control system of a regional power grid which is applied to the technical field of power; the reactive voltage automatic control system of the regional power grid comprises a database module, a communication module, an analysis and calculation module, a graphic display module, a report management module and a system management module, wherein the communication module receives the actually measured data which is forwarded by a data acquisition and control system, sends the actually measured data to the analysis and calculation module, and simultaneously stores the actually measured data to the database module; the analysis and calculation module analyzes and calculates the actually measured data, forms a reactive voltage control strategy, issues the reactive voltage control strategy through the communication module, simultaneously transfers the reactive voltage control strategy to the graphic display module through the communication module, and displays the calculational analysis and the control results; the report management module inquires, displays and prints the control result through the communication module; and the system management module realizes the management of the whole system through the communication module. According to the reactive voltage automatic control system of the regional power grid, all automatic operations in the whole process can be controlled, the work intensity of a field operator can be greatly reduced, and the production efficiency is improved.

The invention discloses a low / high-voltage through optimization control method for a doubly-fed wind power generation system in the technical field of control over wind power generation systems. The method comprises the following steps of determining an upper limit and a lower limit of reactive current of a grid-side converter of a doubly-fed wind-driven power generator; judging whether a power grid fails or not, and if the power grid does not fail, setting the q-axis current of the grid-side converter of the doubly-fed wind-driven power generator to be zero; if a voltage-drop failure occurs in the power grid, injecting inductive reactive current or capacitive reactive current to the power grid through the low-voltage side of a transformer of the generator within a set time after the failure of the power grid is identified. According to the method, a control strategy for the grid-side converter can be optimized, and the reactive power output capability of the grid-side converter during the failure is improved, so that the low / high-voltage through capability of the doubly-fed wind power generation system is improved.

The invention discloses a self-adaptive cruise low-speed vehicle following control method and device and a vehicle. The method comprises the following steps: in an adaptive cruise mode, if it is identified that a current vehicle is in a non-pure electric drive mode and a current road slope value is less than or equal to a first slope threshold, taking a larger value of a starting cruise torque anda creeping torque as a cruise demand torque. According to the invention, the self-adaptive cruise working condition is selected based on a driver; by combining different driving modes and gradient road conditions, a low-speed vehicle following control strategy is optimized, the working condition of starting vehicle following at the gradient of 0-15% can be achieved, the comfort of the low-speed vehicle following starting working condition is optimized, the comfort of self-adaptive cruise low-speed driving is improved, and the NVH of low-speed vehicle following starting under the whole-road working condition is good.

The invention relates to a virtual debugging method for an automatic workshop based on a digital factory. The method comprises the following steps: developing a communication plug-in between the automatic workshop and an external application program by utilizing Visual Components software API, determining a communication interface and driving a virtual simulation system model to act by the external application program; running a controlling application program of the automatic workshop, observing action conditions of all equipment in simulation software, adjusting the number of all the equipment, process parameters and a workshop control strategy, and shortening waiting time of the equipment, thus improving the production efficiency of the automatic workshop. The method is based on the digital factory and has the advantages that design optimization of a workshop layout, project approachment, production process optimization and workshop control strategy validation can be carried out before the automatic workshop is really put into operation; in addition, under the condition of no actual equipment, a software system can be debugged, so that the research and development cycle can be shortened and the cost of enterprises can be effectively reduced.

The invention provides an unattended operation machine room control system and method of an air-conditioner system. The unattended operation machine room control system comprises an Internet-of-thingsmonitoring module, a data collecting module and a data processing module. The Internet-of-things monitoring module is used for monitoring the actual operation parameters of the air-conditioner system, the data collecting module is used for collecting the actual operation parameters, monitored by the Internet-of-things monitoring module, of the air-conditioner module, and the data processing module is used for conducting fault recognition, energy saving analysis, optimization control and feedforward control treatment, and generating control instruments to control the air-conditioner system andequipment in a machine room. The unattended operation machine room control system can achieve feedforward type automatic control over the air-conditioner system, achieves unattended operation of theair-conditioner system, and achieves a series of analysis method of sensing, integrating, analyzing and optimizing machine room system operation and a whole set of unattended monitoring system.

The invention discloses a marine medium speed diesel engine high pressure common rail system hardware-in-loop simulation test platform and a test method. The test platform comprises a common rail system auxiliary unit, a common rail execution mechanism, a virtual marine medium speed diesel engine, an electric control unit, a test platform monitoring system and a local control system. The complete high pressure common rail execution mechanism and the electric control unit are integrated; the virtual diesel engine is used for providing an actual working condition for the electric control unit and the local control system, and the test platform is highly integrated and comprehensive, and research and test on features of the high pressure common rail system, control strategies and performance of the execution mechanism can be carried out. The complete common rail system is kept, fuel pump operation, fuel injection and diesel engine operation state parameters which are the same as those of a real diesel engine can be realized in a lab, working condition changes of the virtual diesel engine can be realized through steering a telegraph lever, and the test platform of the invention can serve as research and teaching equipment for the marine diesel engine high pressure common rail system and has promotion and use values.

The invention provides a vehicle control method based on a reinforcement learning control strategy in a hybrid fleet, and the method comprises the steps: initializing a hybrid fleet, and building a fixed reference system and an inertial reference system; establishing a model of a mixed vehicle longitudinal queue in the inertial reference system; constructing a Lagrange quadratic queue car-following cost function, and obtaining an expression of a Q value function; training information obtained by the influence of surrounding vehicles on own vehicles by using a deep Q learning network; trainingparameters by using a DDPG algorithm, and if the Q value function process and the control input process realize convergence at the same time, completing the solution of the current optimal control strategy; inputting the optimal control strategy into the model of the longitudinal queue of the hybrid vehicle, and updating the state of the hybrid vehicle by the hybrid vehicle queue; and repeating the steps to finally complete the control task of the vehicles in the hybrid fleet. With the system, the problem of hybrid motorcade autonomous training is solved.

The invention provides a permanent-magnet biased hybrid magnetic bearing switch reluctance motor. A torque stator and a suspension force stator of the motor are axially superposed, and a torque rotor and a suspension force rotor of the motor are axially superposed; each of the torque stator and the suspension force stator both is of a salient pole structure and provided with twelve teeth; the torque rotor is of the salient pole structure and provided with eight teeth, while the suspension force rotor is of a cylindrical structure; windings, twelve in total, are wound around a stator tooth formed by the torque stator and the suspension force stator; an annularly magnetized permanent magnet is placed on each of twelve stator yokes, or a radially magnetized permanent magnet is placed on each of twelve suspension force stator teeth. The motor is characterized in that decoupling of torque and suspension force is realized structurally and convenient control is achieved, permanent magnets are used for providing biased magnetic flux and large radial bearing capacity is realized, and the influence of motional electromotive force on current chopping control is eliminated, and good current control effect and good high speed adaptability are achieved.

The invention discloses a power distribution method of a mechanical-electric transmission tracked vehicle. According to the power distribution method of the mechanical-electric transmission tracked vehicle, the needed power of a driver is regarded as a discrete random dynamic process, a markov model of the needed power of the driver is built by summarizing driver powers of multiple cyclic operation states, a recursive decision equation is built based on the random dynamic planning concept, and the optimal power distribution method of random conditions is obtained through solution. The power distribution method of the mechanical-electric transmission tracked vehicle overcomes the defect a control strategy based on rules and a control strategy based on instant optimization can not realize the optimal fuel oil economy in the whole course, takes the characteristics of whole-course optimization of dynamic planning solution and the advantages of a markov decision processing random process into account and can realize whole-course optimization, thereby effectively improving the fuel oil economy of the mechanical-electric transmission tracked vehicle.

The invention discloses a repeating and simulating method for automatic generation control of a power grid. The method comprises the following steps of: storing historical editions of a power generation models of the power grid, and storing a new power generation model document of the power grid when the power generation model of the power grid changes; holographically storing AGC (Automatic Gain Control) measuring data, AGC operating parameters and AGC operation supporting data in the AGC operating process by a time sequence database in a second level, and storing associated data in a form of table structure model by a commercial database; and realizing overall repeating and simulation of AGC historical operating conditions. The method can be used for truly repeating the AGC control process in a power grid state evolution process and immediately finding problems of the AGC in the power grid, so that the AGC control policies are improved. Meanwhile, a simulation function based on the AGC historical control section is provided for dispatchers to train simulation of a historical AGC control process section, so that a simulating operation of AGC control is realized.

The invention discloses a CFD software based method for optimizing temperature distribution of a power battery pack. The method comprises a parameter data unit. The method has the technical key point that the parameter data unit is connected with the input end of a one-dimensional CFD simulation calculation unit through a data conversion unit; a CAD data unit of a power battery system is connected with the one-dimensional CFD simulation calculation unit and a three-dimensional CFD simulation calculation unit, and the three-dimensional CFD simulation calculation unit is connected with the one-dimensional CFD simulation calculation unit through a result data processing unit; the output end of the one-dimensional CFD simulation calculation unit is connected with a heating system and heat dissipation system execution unit through the result data processing unit and a MATLAB program control unit in sequence; and the output end of the heating system and heat dissipation system execution unit is connected with the input end of the one-dimensional CFD simulation calculation unit. According to the method, combined simulation calculation is realized through coupled calculation of one-dimensional fluid heat simulation and MATLAB, so that the simulation efficiency is improved and virtual hardware in-loop simulation is realized.

The invention discloses a photovoltaic grid connected inverter control method based on active power backup. According to the method, a traditional photovoltaic inverter is improved, a power ring is added between a voltage ring and a current ring, and seamless switching between maximum power tracking and active power backup state can be achieved through direct-current voltage ring and direct powerring control. By combining a fitting peak value judging method and a maximum power tracking control method, the maximum power point is determined, maximum power tracking is rapidly and seamlessly switched into the active backup state, and a traditional photovoltaic inverter achieves the active power backup function.

The invention provides a traffic signal control system and method based on edge side online calculation. The system comprises vehicle-mounted terminal equipment, a signal machine and a signal lamp controller, wherein the vehicle-mounted terminal equipment is used for acquiring vehicle information data of an installed vehicle in real time, combining the vehicle information data into a vehicle information data packet and sending the vehicle information data packet to the annunciator; the signal machine is used for calculating and obtaining road condition parameters of each road section of the intersection according to the plurality of collected vehicle information data packets, outputting a current road passing state through a fuzzy comprehensive evaluation model, adjusting a signal timing scheme and sending the signal timing scheme to the signal lamp controller; and the signal lamp controller is used for performing adaptive control on the signal lamp according to the received signal lamp timing scheme. The system can detect and comprehensively analyze the traffic operation state of the intersection in real time; and intersection signal coordination adaptive control is realized.