208results about How to "Achieve optimal control" patented technology

The invention discloses a traffic signal dynamic control method based on a big data analysis platform, comprising the following steps: 1. data collection; 2. historical information; 3. analysis; 4. prediction, early warning, decision-making; 5. dynamic feedback control; The invention also discloses a traffic signal dynamic control system based on a big data analysis platform, including an urban road traffic network module and a big data analysis platform module; According to the actual situation of the environment, according to the maximum traffic flow requirements and the signal light status at road network intersections, dynamically adjust the timing of multiple road intersection signal lights to achieve the optimal control effect. With the support of the big data analysis platform, multiple The coordinated linkage control of signal lights at each intersection solves the linkage control of multiple intersections under the current high-density traffic state, so as to achieve the purpose of regional traffic optimization control.

The invention provides an air conditioner control method and system based on a PID algorithm. The air supply temperature, the air returning temperature and humidity of an air conditioner in a machine room are collected; according to the air supply temperature, the air returning temperature and the preset machine room temperature, the starting frequency and the starting time of a compressor in the air conditioner are controlled; the incremental PID algorithm is utilized, and according to the temperature difference value between the air supply temperature and the air returning temperature and the preset machine room temperature, the optimal output frequency of the compressor is calculated; meanwhile, according to the optimal output frequency of the compressor, the optimal rotating speed of a draught fan is adjusted; the compressor is controlled to carry out cold amount output at the optimal output frequency, and the draught fan is controlled to rotate at the adjusted rotating speed. According to the method and system, a frequency converter adjusts the rotating speed of the compressor, the air conditioner outputs the smaller cold amount, balance of the cold amount and the heat amount in the machine room is achieved, the starting and stopping frequency of the compressor is reduced, the running energy consumption of the compressor is reduced, and therefore the air conditioner runs in a more energy-saving manner.

A design and control method for the optimizing control system of intermediate rolling mill and heating furnace in order to improve the heating quality of billet in the heating furnace and save energy features that the heating furnace and intermediate rolling mill constitute a closed loop system, the information (rolling force, temp, etc) is fed back to heating furnace for dynamically changing the heating temp, and the optimizing control strategy and control algorithm are used in the billet heating process.

The invention discloses a greenhouse multi-model information fusion based technology for regulating and controlling the greenhouse environment. According to environmental information such as the temperature, the humidity, the illumination intensity and the carbon dioxide concentration inside a greenhouse, which is obtained by a greenhouse environment information collecting sensor, three kinds of greenhouse environment control models which are based on a set value, the illumination and the accumulated temperature are used respectively for extracting feature vectors, multi-information fusion of feature vectors of three kinds of regulating and controlling methods is conducted by using a Dempster / Shafer (D-S) evidence theory method, an environment optimization controlling and regulating decision strategy is established, and coordination of short-scale and long-scale control requirements of the greenhouse is achieved. An actuating mechanism is controlled by a greenhouse environment controller to act to achieve real-time control of greenhouse environmental parameters.

The invention discloses a QoS business control method in a power telecommunication net. The method comprises the following steps: providing a business classification standard of the power telecommunication net, setting business importance degree of a power system according to QoS demand, and distributing a DSCP (differentiated services code point) value according to high-low of the business importance degree and class of business; providing a QoS business control step in the power telecommunication net in addition, wherein the step mainly comprises two stages of QoS business identification and QoS route optimization, and two stages are specifically as follows: firstly performing QoS business classification and identification on a business stream entering the power telecommunication net, and then performing QoS route optimization control after obtaining the DSCP value. The QoS business identification have both characteristics of being fast and simple in port matching, robust, low in complexity and good in flexibility, and characteristics of precise and effective in DPI, good in expandability of a flow character analytical method, and small in computation expenditure and storage expenditure; a destination address and the DSCP value are combined for route selection through the QoS route optimization, the routes are distributed according to different power business requirements on the basis of destination route selection, thereby promoting the business transmission quality of the power telecommunication net and realizing the QoS route optimal control.

The invention provides an iterative-ADP-algorithm-based optimal control method for wastewater treatment. With the method provided by the invention, a problem of controlling of dissolved oxygen concentration and nitrate nitrogen concentration during a wastewater treatment process (WWTP) can be solved. Only input and output observation information is needed and a non-linear kinetic model during the wastewater treatment process is not needed; and on the basis of the characteristic of the approximation non-linear function structure of the neural network, the neural network is used for realizing approximation of a performance evaluation index and an optimal control strategy. The on-line learning algorithm of the controller is studied and a good effect is realized. The wastewater treatment precision and stability of the controller are improved; the wastewater treatment cost is lowered; and optimal control of the wastewater treatment process is realized, so that high-efficiency and stable operation of the wastewater treatment plant can be promoted.

The invention discloses a power load operation control method based on load curve clustering of major clients. The method comprises the following steps: S1, acquiring integral point data of each major client, recognizing bad data, and correcting the bad data; S2, normalizing the integral point data of each major client, calculating the daily average load curve of each major client, and obtaining the load characteristics; S3, performing model clustering calculation for the daily average load curve of each major client to obtain various major client sets, and calculating the power consumption characteristics of various major client sets; S4, performing time quantum clustering calculation for the load characteristics of each major client to obtain a target set, counting the interruptible load in the target and the resulting cost, and calculating the scale of the interruptible load; S5, comparing and analyzing the power consumption characteristics of various major client sets and the scale of the interruptible load, and controlling the load operation. With the adoption of the method, the power load management level and efficiency can be increased, and the power load operation can be optimally controlled.

The invention discloses a layered and distributed network voltage regulator control system based on an active mechanism. The layered and distributed network voltage regulator control system based on the active mechanism comprises a reactive voltage controller which faces a single branch, a coordination voltage controller which faces a local area and an initiative power distribution network voltage management subsystem which faces a whole power distribution network. The initiative power distribution network voltage control subsystem determines a voltage control indicator according to a distribution condition of power distribution network active power. When a voltage is beyond a certain limit, the reactive voltage controller locally regulates the voltage which is beyond the certain limit. When the regulation fails, the coordination voltage controller is regulated on the basis of overall considering voltage fluctuations and a batch-type energy source grid connecting and grid separating plan, and voltage beyond limit recover based on the active mechanism is achieved through the coordination of the reactive voltage controller and the coordination voltage controller. Meanwhile, the invention further provides a regulating method which corresponds to the layered and distributed network voltage regulator control system based on the active mechanism. The layered and distributed network voltage regulator control system based on the active mechanism and the regulating method which corresponds to the layered and distributed network voltage regulator control system based on the active mechanism achieve active control of the beyond limit voltage of the power distribution network on the premise of meeting power distribution network constraint conditions.

The invention relates to a static reactive power compensator adjusting method used in power transmission system. It comprises three combined regulation control tactics: it controls the reactor (TCR) antennal organs which is controlled by the bus wire thyristor to do perceptual reactive-load power constant adjustment; it controls the power filter device group (FC) and the fixed condenser band to do condenser reactive-load power interval adjustment; it controls the load transformer tapping switch (LTC) to do bus wire adjustment.

The invention discloses an SVC selected harmonic number prediction elimination control method and the devices for implementing thereof. The invention predicts the harmonic numbers of 2, 5, 7, 11 and 13 of the SVC system by adopting an adaptive control algorithm which is based on fuzzy prediction; the prediction result is used for modifying the PWM output, which is controlled by load current feedforward, of an injection-typed active filter HAPF; the HAPF outputs the harmonic current which is identical to the SVC selected harmonic time current and has reverse phase, thus reaching the objects of harmonic filtering, improving the dynamic performance of the device and improving the stability of the system. The invention implements the optimum control to power network reactive and power factor, provides a plurality of dynamic reactive storage for the power system, has an important effect in stabilizing the voltage of the generatrix and compensating the reactive power of the distribution network, and effectively improves the transmission capacity of the power system.

The invention discloses a capacity optimization configuration method for an urban rail transit photovoltaic energy storage system. The method comprises the steps: formulating a time-sharing operationstrategy according to the operation characteristics that the morning and evening peak load capacities of urban rail transit are large to determine operation states of photovoltaic, energy storage andpower grid at different time periods; researching a typical daily load curve and a photovoltaic output curve to carry out output adaptability analysis, and establishing an optimization model taking voltage fluctuation and economy as target functions by integrating photovoltaic and energy storage time-sharing operation characteristics and output adaptability analysis; converting multiple targets into a single-target optimization function in a weight assignment mode; carrying out solving through a particle swarm optimization algorithm to obtain optimal configuration of the energy storage capacity of the system. The method facilitates energy conservation and emission reduction of the urban rail system and local photovoltaic absorption, meanwhile, reduces network voltage fluctuation to improvethe traction side electric energy quality; and time-sharing operation is achieved, photovoltaic peak clipping and valley filling and load peak clipping are conducted through energy storage, and the economical efficiency of the system can be improved.

The invention provides an equipment predictive maintenance system and method based on a digital twin technology, and the system comprises a communication module which is used for completing the data real-time connection of all equipment, a protocol conversion module which is used for unifying industrial equipment with different protocol standards, a three-dimensional scene module which is used for performing high-precision three-dimensional modeling reduction on the industrial equipment, an engine rendering module which is used for loading static three-dimensional model data and endowing specific physical, geometric, behavioral and regular attributes, a data fusion module which is used for importing a predictive maintenance algorithm into a digital twinborn platform to provide calculation and drive updating of a digital twinborn body, and a visualization module which is used for calling the simulation result to carry out visual display and experience. The operation and maintenance work of maintenance according to the specific condition and the specific analysis of the equipment in the industrial internet industry is solved, and the accuracy of the maintenance of the equipment is improved.

The invention discloses an intelligent IGBT (insulated gate bipolar transistor) constant-current driving device. The intelligent IGBT constant-current driving device comprises an isolation DC (direct current)-DC module, a PLD (programmable logic device) digital control module, a DAC (digital-to-analog converter) module, a controlled constant-current source, a voltage comparison logic circuit, a gate-level current acquisition circuit and a current comparison logic circuit. A driving power source and a driving signal of a primary side control portion provide an isolated driving power source and a driving signal for a secondary side through the isolation DC-DC module, and an alarming signal of the secondary side provides an isolated alarming signal for the primary side through the isolation DC-DC module. Output ends of the driving signals, the voltage comparison logic circuit and the current comparison logic circuit are connected with an input end of a PLD digital signal, output of PLD is connected with input of the DAC module, outputs of the DAC module and a subtraction circuit are connected with input of the controlled constant-current source, and output of the controlled constant-current source is connected with gate level of IGBT. On the basis of PLD digital control, output of a control circuit can be regulated according to parameter differences of different types of IGBTs to realize optimal control of different series and different types of the IGBTs.

The invention provides a transmission device used for a longitudinally-arranged rear-drive hybrid electric vehicle. The transmission device comprises a first electric motor (EM1), a second electric motor (EM2), an input shaft, a first brake (B1), a second brake (B2), a first clutch (C1), a second clutch (C2) and a planetary gear coupling mechanism; the planetary gear coupling mechanism comprises asingle planetary gear row (PG1) and a double planetary gear row (PG2); and an engine is connected with the planetary gear coupling mechanism through the first clutch (C1), the second clutch (C2), thefirst brake (B1), the second brake (B2), the first electric motor (EM1) and the second electric motor (EM2) so as to achieve various pure electric and hybrid electric driving modes. According to thetransmission device used for the longitudinally-arranged rear-drive hybrid electric vehicle, the structure is compact, matching work with the engines with different displacement can be realized, and the torque demand and manufacturing cost of the electric motors are reduced.

The invention relates to a permanent magnetic motor control device and a permanent magnetic motor control method based on energy optimization. The permanent magnetic motor control device comprises an integrated management and dispatching unit, a pulse width modulation (PWM) rectification unit and an inversion control unit, wherein the PWM rectification unit comprises a controller, and the PWM rectification unit also comprises a power transformation circuit which is of a three-phase four-bridge-arm topological structure and is used for controlling zero-sequence current and compensating input voltage of an electric network so as to eliminate asymmetric current contained in the electric network. Due to the adoption of the permanent magnetic motor control device and the permanent magnetic motor control method, unbalance of the electric network can be effectively inhibited, the power factor is also improved, and the normal running of a rectification circuit is guaranteed; and the inversion unit adopts an energy-optimization-based fuzzy power input (PI) control algorithm to realize the optimum control on energy, so that the energy loss is reduced, and the energy is saved.

The invention provides an intelligent control system for a combustion process of a hot-blast stove. The system comprises an expert-coordinated controller, a rapid heating period air-fuel ratio optimization fuzzy controller, a dome temperature management period air-fuel ratio optimization fuzzy controller, a flow-given calculation module and a flow fuzzy expert controller, wherein the expert-coordinated controller is used for identifying the combustion state and selecting fuzzy controllers at different combustion stages; the rapid heating period air-fuel ratio optimization fuzzy controller is used for outputting the adjustment increment of the air-fuel ratio in the rapid heating period; the dome temperature management period air-fuel ratio optimization fuzzy controller is used for outputting the adjustment increment of the air-gas flow ratio in the dome temperature management period; the flow-given calculation module is used for calculating a gas flow set value and an air flow set value; the flow fuzzy expert controller adopts a feedback and feedforward control strategy and adjusts the valve flow characteristic according to the ideal state, a feedback link adopts a fuzzy control strategy, meanwhile, feedforward compensation is performed on pressure disturbance by the aid of the feedback link, and optimized control of the flow is realized. With the adoption of the system, optimized control of the gas flow and the air-fuel ratio in the combustion process is realized, combustion is optimized, and energy is saved.

The invention relates to a control method for a battery energy storage system combining an energy type and a power type. Four key nodes are chosen so that a variation section of a state of charge (SOC) of the battery energy storage system is determined. SOC up to SOC max is an urgent charging section, SOC down to SOC up is an energy free transportation section and SOC down to SOC min is an urgent discharging section. When large power disturbance occurs in a located outer environment, the battery energy storage system always can preferably offer a rapid charging or discharging urgent power control function; and when the outer environment operates normally and the battery energy storage system is in the energy free transportation section, a charging state and a discharging state can be freely controlled according to outer environment requirements, when the battery energy storage system is in the urgent charging section, only discharge is allowed and when the battery energy storage system is in the urgent discharging section, only charge is allowed. According to the control method for the battery energy storage system, two functions of energy transportation and power urgent control can be integrated in one energy storage system, so that system device investment is reduced, device using rate is improved and economic benefit is good.

The invention provides an optimized operation system applicable to an electric locomotive. The system comprises a train running monitoring device, a train optimized operation device and a train communication network. The train running monitoring device is used for providing data related to running of a train; the train optimized operation device is connected with the train running monitoring device and used for performing calculation according to the data transmitted from the train running monitoring device to obtain optimized operation information; the train communication network is connected with the train optimized operation device and used for transmitting the optimized operation information to a traction braking system of the train, to control the traction braking system to make a response according to the optimized operation information, so as to realize automated driving of the electric locomotive. By applying the system, optimized control over the operation of the electric locomotive can be realized, the train can run in a safe, energy-saving and on-time manner under the condition of minimal modification, and the maximum benefit is achieved.

The invention relates to an output-restricted active power distribution method based on power prediction and applied to a wind power plant cluster. According to the output-restricted active power distribution method based on power prediction and applied to the wind power plant cluster, active output maximization and line loss minimization of the wind power plant cluster existing under the output-restricted condition serve as objective functions, the system safety, the wind power plant output power, the frequent starting and stopping of a wind power unit and the lower predicted power serve as constraint conditions, and the influence of the active power loss on a connecting line and short-term active power prediction errors is considered. According to the output-restricted active power distribution method based on power prediction and applied to the wind power plant cluster, the practicability is high, reduction of the wind curtailment electricity quantity of the wind power plant cluster is achieved by increasing the active output of the wind power plant cluster and lowering the active power loss inside the cluster, and the negative influence on the service life of the unit, the operation of wind power plants and system regulation of the frequent starting and stopping of the wind power unit can be weakened to a certain extent.

The embodiment of the invention discloses a building energy management system optimization control method and device. The method includes predicting photovoltaic power generation power according to power generation information of a photovoltaic inverter, thereby obtaining a photovoltaic power generation power prediction result; predicting a building load according to building load information of a power distribution control cabinet, thereby obtaining a building load prediction result; determining an optimization objective of a system; and optimizing energy flow of the system according to the photovoltaic power generation power prediction result, the building load prediction result and the optimization objective. According to the abovementioned technical scheme, based on photovoltaic power generation power prediction and load prediction, the building energy management system optimization control method and device provided by the embodiment of the invention comprehensively considers the overall optimization objective of the building system, and realizes optimization control of the building energy management system.

The invention provides an on-line data mining optimized control method based on the cyber physical system (CPS) of a power distribution network. The method comprises the steps of acquiring the data source of the CPS of the power distribution network and cleaning the data source; establishing an association relationship model between the data source and a controlled variable and conducting the data mining; verifying the correctness of the above association relationship with the actual power distribution network as an analysis example; on the condition that the above association relationship is correct, matching the above association relationship with association rules and outputting a matching result; on the condition that the above association relationship is not correct, correcting association rules; and controlling the power distribution network according to the output result. By adopting the above method, on the premise that the safe operation of the power distribution network is ensured, the cost of power enterprises is lowered. Therefore, the method facilitates the pioneering and developing process of the electricity market.

The invention discloses a plate type heat exchanger model construction method based on fuzzy PID control, aiming to solve the problems that a plate type heat exchanger model is difficult to construct, and the conventional PID control effect is bad. According to the unstable state energy balance, a plate type heat exchanger mathematics model is established and a plate type heat exchanger test system is built; according to the related data and the corresponding constraint conditions, simplified system transfer functions are obtained; and through the combination with the fuzzy theory, the characteristics of pure lagging and large inertia of the plate type heat exchanger can be better optimized. Therefore, the control quality of the plate type heat exchanger outlet temperature-control system can be effectively improved.

The invention provides a power quality control method of a hybrid power electric vehicle. The power quality control method comprises the following steps of: the step 1, on-line receiving or distinguishing the operation information of a hybrid power system, the status information of the vehicle, and the operation information of a driver; the step 2, executing the instruction torque and the instruction power control of the driver; the step 3, executing power and energy management control on the vehicle, and computing a primary control instruction to power sources and judging the switching of operational modes; the step 4, executing power quality active control based on the prediction and feedback mode of the shock degree of the vehicle; the step 5, switching power quality active control based on the pre-adjust and feedback modes of power source rotational speed; the step 6, executing self-learning on the actively acquired power source dynamic response based on the characteristic working conditions; and the step 7, outputting a control instruction to each power source. According to the power quality control method disclosed by the invention, the real-time control of the power quality of the hybrid power electric vehicle is realized, and the method has the characteristics of being good in power quality, and easy to realize for actual vehicles.

The invention discloses a voltage-frequency comprehensive control method for a direct-drive wind generator set and relates to the technical field of new energy power generation. The method comprises the following steps of: 1, detecting a pitch angle and a rotating speed and an electromagnetic torque of a generator when the wind generator set operates, and sampling the detected values; 2, converting the degree of membership of an operating state of the generator set; 3, calculating a virtual excitation regulation command value and a virtual torque regulation command value of each generator setin a wind power station; 4, calculating a dynamically adjusted coordination degree parameter K of the rotating speed of the wind generator set; 5, calculating a pitch control command value and a power regulation command value of a permanent magnet direct-drive wind generator set, superposing the values with the parameter K and transmitting to a comparator; and 6, controlling a pitch control mechanism and a converter control mechanism, detecting the pitch angle of the wind generator set in real time, outputting active and reactive power, and transmitting a feedback signal to the comparator forfeedback control. By the method, actual working conditions can be accorded, and a variable-speed constant-frequency direct-drive motor wind power station can be better subjected to comprehensive optimal control.

The invention discloses a four-wheel-driving hybrid power system, and aims to overcome the problems that the current four-wheel-driving hybrid electric vehicle cannot realize the optimal control of anengine and the parking electricity generation cannot be realized. The four-wheel-driving hybrid power system comprises an engine, a planetary row, a number one motor, a number two motor, a number oneclutch, a number two clutch, a number three clutch, a number four clutch, a number one brake, a number two brake, a gear I, a gear II, a gear III, a gear IV, a gear V and a gear VI. According to thefour-wheel-driving hybrid power system disclosed by the invention, the engagement / separation condition of different clutches and a brake is controlled, different modes can be realized.

The invention discloses a single-vidicon equivalent binocular stereoscopic vision model based foam stereoscopic feature extraction method. Two frame images of flowing foams, shot by one vidicon in one orientation at different moments, serve as two foam images, shot by two vidicons in different orientations at the same moment in the same scene on the basis of acquiring a foam video of the flotation production field by single vidicon and by utilizing difference information generated by two adjacent images in the video due to foam flowing, the binocular stereoscopic vision model simulating eye imaging process is equivalently built, depth information of foams in the foam image is acquired, foam stereoscopic features are further extracted, the nonferrous metal flotation working condition is effectively recognized and the optimized control of the nonferrous metal flotation process is realized.

The invention discloses an optimal energy saving control method and device of a variable air volume air conditioning ventilation system. A hydraulic calculating model of the variable air volume air conditioning ventilation system is built; related data is obtained through a data acquiring module; pressure drops of all loops are calculated according to mathematical models of all parts of the variable air volume air conditioning ventilation system; the most unfavorable loops in an exhaust system are found out; pressure drops of the most unfavorable loops in all the loops at this time are calculated, and are used as pressure heads of fans; the sum of air volumes needed by all air conditioning rooms and air leakage quantities is used as a set total air volume of the variable air volume air conditioning ventilation system; the pressure drops of the most unfavorable loops of the variable air volume air conditioning ventilation system and the set total air volume of the system are substitutedinto mathematical models of fan characteristic curves to calculate frequencies need by the fans at this time; and the frequencies of the fans are adjusted through frequency converters to realize optical control of the fans in the variable air volume air conditioning ventilation system. The control effect on the air volume of each terminal room in the variable air volume air conditioning ventilation system can be improved; and a certain energy saving benefit is achieved.

The invention relates to an assembly spacecraft closed loop feedback optimal control distribution method which is designed oriented to the problems of executing mechanism installation deviation, executing mechanism saturation and energy restriction of an assembly spacecraft. The assembly spacecraft closed loop feedback optimal control distribution method comprises the steps that firstly, an assembly spacecraft posture kinematic and dynamic model including executing mechanism installation deviation is established; secondly, an assembly spacecraft anti-saturation and posture stable controller is designed for the assembly spacecraft posture kinematic and dynamic model, and an assembly spacecraft three-axis virtual posture stable control instruction is obtained through solving; thirdly, an open loop optimal control distribution method is designed based on the virtual control instruction, and distribution is made to meet the restriction condition of energy optimum; finally, based on the open loop optimal control distribution method, the closed loop feedback optimal control distribution method is designed to reduce distribution errors brought by executing mechanism installation deviation. The assembly spacecraft closed loop feedback optimal control distribution method has the advantages of being high in reliability and low in energy consumption, and is suitable for control distribution among multiple executing mechanisms of the assembly spacecraft.

The invention discloses a method for identifying the foam working condition on a copper flotation site based on wavelet multi-scale binaryzation. The method comprises the steps of carrying out wavelet transformation on a foam grey image; carrying out binaryzation on wavelet approaching subgraphs with different scales; carrying out statistical calculation on white areas of all binary images according to the space-frequency relation of two-dimensional wavelet transformation to obtain a novel multi-scale statistical characteristic, namely an equivalent dimension characteristic directly related to the apparent form of foam. A foam image equivalent dimension distribution diagram can be obtained according to the obtained equivalent dimension characteristic, and foam images with different working conditions can be distinguished directly through the distribution diagram. The method for identifying the foam working condition on the copper flotation site based on the wavelet multi-scale binaryzation is simple and efficient, and has great guiding significance for foam working condition identification on the copper flotation site.

The invention discloses a picocell sleep joint optimization method based on energy efficiency and traffic load. A cell utility function is defined according to influence of the energy efficiency and the traffic load on the performance of cells in a multilayer heterogeneous network, and then a network system performance function is defined according to influence of the performance of different types of cells on the performance of the network system. Whether sleeping of a certain picocell enhances or reduces the performance of the whole network system is estimated by utilizing the defined functions, and sleeping of the picocell is performed if system performance is enhanced, or the picocell is maintained to be on. With application of the method, sleeping difficulty is different according to different positions of the picocells in sleeping of the picocells so that reasonable sleeping of the picocells can be performed. Meanwhile, energy consumption can be reduced by applying the method without overload of a single cell so that the performance of the network system can be maintained to be in the great state.