2834results about How to "Improve control effect" patented technology

A software-control-module for enabling a user to monitor and control home-automated-systems and appliances from one or more remote interfaces on a data-packet-network is provided. The module comprises a reporting function for reporting current status of the home-automated-systems and appliances; a selection function for selecting options related to system and appliance settings; a command-building function for building commands for system and appliance control; an execution function for executing commands; and a display function for displaying relevant data and for facilitating interactive control ability. the software-control module is distributed to pre-selected network locations frequented by a user such that the user may have control over home-automated systems and appliances while visiting the network location during network navigation.

The invention provides a high-performance thermal insulation material and a preparation method thereof. The thermal insulation material comprises silicon dioxide aerogel and a fiber material, wherein, the silicon dioxide aerogel takes silicon dioxide hydrosol as a raw material, and is prepared by adding a catalyst. The method comprises the following steps: sol preparing, sol dipping, gelating, gel ageing, hydrophobization treating and drying and the like. The method can conveniently and selectively prepare the materials of planes, abnormal-shape surfaces and multiple sizes, has simple and convenient operation and small environmental pollution. The material has excellent mechanical performance, good high-temperature stability and heat insulation performance, and has wide application prospect in the fields of civilian industries, space flight and aviation industries, military industries and the like.

The invention relates to a device and a method for detecting and positioning small current earthing fault. The device comprises a slave computer and a host computer composed of a CPU module, a DSP, a pre-loop unit module, a A / D conversion module, a memory module, a display and keyboard operation module as well as a communication module; wherein, the pre-loop unit module, the A / D conversion module, the CPU module and the DSP are connected in sequence; the memory module, the display and keyboard operation unit module and the communication module are respectively connected with the CPU; the host computer is connected with the communication module. The CPU module collects the analog signal of the zero-sequence voltage of the bus and the zero-sequence current of each line, and adjusts the value in proportion to the amplitude range so that the device can deal with. The analog signal is turned into digital signal recognized by the computer module, and analyzed by the DSP to judge whether the fault occurs or not. If the fault occurs, then the DSP gives the line selection result, saves the fault information and transfers the line selection result to the host computer for fault alarm.

The invention relates to a trajectory tracking control method and a control device for a driverless vehicle. The control method comprises that error of present driving trajectory and a reference trajectory of a vehicle is calculated by a data preprocessor, a target performance indicator function which is corresponding to the present driving model is obtained simultaneously; an upper layer controller predicts driving states of the vehicle over a period of time through a vehicle dynamics model; transition switch is conducted to function parameters according to switching control algorithm, and a performance indicator function at present sampling time is obtained; optimal controlled quantity of present time is calculated by considering performance requirement constraint conditions at the same time according to predicted driving states and the performance indicator function; a lower layer controller calculates throttle opening, braking pedal pressure and steering wheel turning angle according to the optimal controlled quantity; and the control device comprises the data preprocessor, the upper layer controller and the lower layer controller. Compared with the prior art, the trajectory tracking control method and the control device for the driverless vehicle have the advantages of being good in control effect, high in practicability, capable of improving stability and safety of vehicles and the like.

The invention discloses an automatic regulating apparatus for controller parameters of a servo driver of a motor and a method thereof. The apparatus comprises an inertia identifier, a parameter initial regulator, a parameter checker, a parameter optimizer, a parameter saving and displaying device, a speed controller, a position controller, a torque controller, a PWM (Pulse-Width Modulation) generator and a coded disc. In the invention, the servo driver of an alternating current permanent magnet motor automatically configures the parameters of the position controller and the speed controller according to different rotary inertias of mechanic load, checks and further optimizes the automatically configured parameters through the parameter checker and the parameter optimizer so that the position response and the speed response of the servo driver are relatively optimal. The servo driver of the alternating current permanent magnet synchronous motor automatically regulates the control parameters according to work occasions and achieves ideal control effect. The whole process is manual participation free and completed fully by the servo motor of the alternating current permanent magnet synchronous motor.

The invention relates to a truck combination hinge angle measuring and controlling system, which mainly consists of a truck combination hinge angle measuring portion and a hinge angle controlling portion and particularly comprises a GPS (global positioning system) tester, input equipment, a microprocessor, a steering wheel rotation angle sensor, a driving front-wheel steering controller, an executing mechanism and power supply equipment. The GPS tester, the input equipment and the steering wheel rotation angle sensor are respectively connected with the microprocessor, the steering wheel rotation angle sensor is connected with a steering wheel of the truck combination, the microprocessor is connected with the driving front-wheel steering controller which is connected with the executing mechanism, the executing mechanism is connected with a truck combination steering mechanism, and the power supply equipment supplies power for the integral system. By the truck combination hinge angle measuring and controlling system, truck combination hinge angle can be measured accurately, steering harmony and running stability of the truck combination during insufficient steering and over-steeringcan be effectively controlled by the truck combination hinge angle measuring and controlling system utilizing the hinge angle as control variable.

The invention discloses a DSP (Digital Signal Processor)-based quad-rotor unmanned aerial vehicle autonomous hover control system and method. The control system is provided with four screw propellers and control units which are arranged on four airfoils respectively; and each control unit is that a master control unit is connected to a ground computer through a wireless network, and a receiver is connected with a signal conversion module and a manual / automatic switching chip in sequence, transmits a received signal transmitted by a remote controller into the manual / automatic switching chip through the signal conversion module, is also connected with the manual / automatic switching chip through the master control unit and is used for transmitting the received signal to the manual / automatic switching chip through the master control unit for controlling driving units to drive direct current brushless motors on the four screw propellers to work. According to the method, kalman filtering processing is performed on sonar data to obtain accurate height data and driver control. According to the system and the method, the autonomous flight capacity of a micro quad-rotor unmanned aerial vehicle and the adaptability to the environment can be effectively enhanced, and the autonomous flight control under indoor environments and outdoor environments can be finished.

The invention relates to a total-section closed type deep-shallow coupling yielding, bolting-grouting and supporting method for an incompact and fractured soft-rock roadway. On the basis of a multilayered cooperative supporting principle, a spraying net combined isolating arch, an anchor rod extruding reinforcing arch, a total-section closed type grouting reinforcing ring and a deep slurry diffusion reinforcing arch are respectively formed on surrounding rock of the roadway from shallow to deep finally, and are combined to form a multilayered effective combined arch by a suspension effect of a high-strength grouting anchor cable, advantages of yielding supporting, bolting-grouting supporting and deep-shallow coupling supporting are combined organically, bearing range, integrity and bearing capability of a supporting structure are improved obviously, a control effect on deformation characteristics of large deformation, high speed, long duration, wide destroying range, peripheral pressing, obvious floor heaves and the like of the surrounding rock of the incompact and fractured soft-rock roadway is excellent, and various deformations of the surrounding rock of the incompact and fractured soft-rock roadway are controlled effectively. The total-section closed type deep-shallow coupling yielding, bolting-grouting and supporting method is particularly suitable for a large-section incompact and fractured soft-rock roadway of a deep well, is simple in work procedures and low in cost, and has high field promotion and application value; and parallel operation can be realized.

The invention discloses a pair of intelligent glasses and a control method for controlling an unmanned aerial vehicle, and belongs to the field of unmanned aerial vehicle application. The pair of intelligent glasses comprises a remote control command sender, a telemetry data receiver, an image display device, an eyeball motion monitoring device and a controller, wherein the eyeball motion monitoring device is arranged on the image display device and is used for transmitting aerial images of a shooting device carried on the unmanned aerial vehicle to the image display device for displaying; the controller is electrically connected with the eyeball motion monitoring device and the remote control command sender respectively, and is applicable to generating a control command and transmitting the control command to the unmanned aerial vehicle according to user eyeball motions detected by the eyeball motion monitoring device; and the shooting device is controlled according to the control command to perform corresponding actions. The invention provides a conception of adjusting the direction of the shooting device carried on the unmanned aerial vehicle by using the eyeball motions, and the natural motions of eyeballs during observation are fully utilized to automatically adjust the best field of view. Meanwhile, the eyeball motions are combined with the flight path control of the unmanned aerial vehicle.

This invention relates to a three parameter self-anti-disturbance controller and a control method, among which, the controller includes: a transition process mode memory device storing several transition process modes based on the controlled target and bearing ability of the object, an expanding state observatory estimating the motion state of the object and acting on the sum of all the disturbed action volumes of the object based on its input and output signals, an error feedback device taking error signals as the input to generate error feedback control volume in terms of the quickest control rule and a dynamic compensation device generating final control signals to the quickest control rule and a dynamic compensation device generating final control signals to the disturbed sum action volume given by the observatory and its parameter is given by the sample step length in a certain way, not necessary to be regulated at site, the adjustable parameters at site are two parameters in the error feedback device and one in the dynamic compensation device.

Active noise reduction headphones for audiometry where the earphone portion of said headphones has a cavity volume greater than 6 cc and including an acoustic-electric sensing means and an electro-acoustic transducing means which are used cooperatively and which has additional passive noise control means in the form of a circumaural seal around the ear for improving high frequency noise control performance, the headphone having a summing junction for combining the active noise reduction signal and an audiometry test signal.

The invention discloses a bias output three freedom spherical parallel mechanism with a central spherical hinge, which consists of a three freedom spherical parallel mechanism, the central spherical hinge and a bias output link unit, and is characterized in that the lower end of a lower support bar (3) of the central spherical hinge is fixed to a fixed platform (1); the axis of the lower support bar (3) passes through the central point of the fixed platform (1); a cylindrical straight output link (8) passes through the center of a moving platform (7), is fixed to the moving platform or connected with the moving platform through a prismatic pair; the upper end of the straight output link (8) is fixedly connected with a bias output link (9) at the point of intersection (A) of central lines; the axial included angle alpha h of the cylindrical straight output link (8) and the bias output link (9) ranges from 0 DEG to100 DEG; and the bias direction is random. The bias output three freedom spherical parallel mechanism has the advantages of high restriction, high rigidity, large working space, unloading function and greatly improved mechanical property of mechanism.

The invention relates to a magnetorheological elastomer active and passive integrated damper based on an extrusion type stress, which belongs to the structure vibration isolation and control field, wherein a magnetorheological elastomer is arranged in a magnetic conductive sleeve; the upside of the magnetorheological elastomer is connected with a joint lever; the lower part of the magnetorheological elastomer is fixedly connected with a lower positioning plate; a groove is arranged on an outer circumferential surface of the magnetic conductive sleeve positioned in a permanent magnet, embedded with a coil winding and positioned and fixed by an upper positioning plate and the lower positioning plate; the permanent magnet, the upper positioning plate, the lower positioning plate and the lower part of the joint lever are arranged in an outer magnet isolating cylinder; the upside of the outer magnet isolating cylinder is provided with an upper end closure; the upper part of the joint lever extends out from a pylome of the upper end closure and is connected with a controlled object; a pretightening spring is sleeved on the joint lever; the bottom of the outer magnet isolating cylinder is provided with a lower end closure; a sensor is fixed on the joint lever and connected with a power amplifier through a control unit module; the power amplifier is connected with the coil winding through cables. The magnetorheological elastomer active and passive integrated damper has large bearing capacity, a simple structure and can be automatically suitable for active and passive vibration control and has wide application range.

An aero-engine online optimization and multivariable control design method based on model predictive control achieves the control and online optimization of multiple variables of an aero-engine undera constraint and according to requirements of thrust and speed. A control system consists of two parts. The first part is a prediction model acquisition layer. Based on the actual working state of each control cycle and the external environmental parameters of the aero-engine, an engine small deviation linear model near different steady-state points is continuously established, and model parameters are provided for a model predictive controller. The second part is a control law decision layer. A closed-loop structure is formed by the model predictive controller and an external output feedback.The model predictive controller, based on an engine model in the current state, a control command and relevant constraint limits, determines the output of the controller at the next moment by solvinga linear optimization problem. The external output feedback introduces the aero-engine actual output into the decision on future controlled quantity of the controller to compensate for the influenceof model mismatch and external disturbances.

The invention discloses an automatic cutting control system and an automatic cutting control method for a coal cutter. The control system comprises a controller, a data storage device, a working condition detection apparatus for the coal cutter and a control host. The working condition detection apparatus for the coal cutter comprises a walking displacement detection unit, an angle detection unit one for detecting the swing angle of a right rocker arm, an angle detection unit two for detecting the inclination angle of a working face, an angle detection unit three for detecting the swing angle of a left rocker arm, and an angle detection unit four for detecting the upward or downward angle of the coal cutter. A left height adjustment oil cylinder and a right height adjustment oil cylinder are both controlled by the controller. The control method comprises the steps of: 1) learning and memorizing the cutting trace of the currently working coal seam; 2) accomplishing the automatic coal cutting according to the memorized trace, and adjusting the memorized trace in real time; 3) repeating step 2) until all the exploration processes of the currently working coal seal is finished. The system of the invention is advantageous by a simple circuit, a reasonable design, a convenient control method, and good application effect, and can realize the automatic cutting control of the coal cutter.

The invention discloses an adaptive control system based on a radial basis function (RBF) neural network sliding mode control for a micro-electromechanical system (MEMS) gyroscope, and the system comprises a gyroscope and a control circuit, wherein the control circuit comprises a sliding mode controller and an RBF neural network; the difference of displacement of the three-axis gyroscope in the directions of three coordinate axes x, y and z and displacement of a reference model is taken as the input of the sliding mode controller. In the adaptive control system, an adaptive sliding mode control method is applied in controlling the gyroscope, so as to improve the stability and reliability of the system; and the RBF neural network is adopted to carry out adaptive learning on upper boundary of uncertain interference, thus reducing the influence of measurement error and external interference, effectively lowering the occurrence of buffeting, and achieving a better control effect.

The invention discloses a robust control method of burden error of pitch concrete stirring device, which comprises first building an input / output artificial neutral network model of three-layer structure, while the input layer has one neuron, the middle layer has five neurons and the output layer has one neuron, processing dynamic prediction and learning. The invention builds the non-linear model of flux and fly ash amount to be compared with a linear model of fixed parameters via continuous learning and adjustment, to adapt the change of external parameters, thereby effectively controlling the burden error of pitch mixture stirring device, reaching +-2% burden error as maximum and improving the burden accuracy of pitch mixture stirring device.

The present invention is a plasma etching method including: an arranging step of arranging a pair of electrodes oppositely in a chamber and making one of the electrodes support a substrate to be processed in such a manner that the substrate is arranged between the electrodes, the substrate having a silicon film and an inorganic-material film adjacent to the silicon film; and an etching step of applying a high-frequency electric power to at least one of the electrodes to form a high-frequency electric field between the pair of the electrodes, supplying a process gas into the chamber to form a plasma of the process gas by means of the electric field, and selectively plasma-etching the silicon film of the substrate by means of the plasma; wherein a frequency of the high-frequency electric power applied to the at least one of the electrodes is 50 to 150 MHz in the etching step.

The invention discloses a visual information-based robot line-walking navigation method along a guide line, comprising the following steps of: (a) obtaining an environment image by a visual sensor arranged on a robot; (b) obtaining route information from the environment image, and transmitting the obtained route information to a controller; and (c) setting the linear velocity and the angular velocity of the robot by the controller according to the route information. According to the method, the robot can walk along an appointed route.

The invention discloses a combustion optimization control method for a boiler. The combustion optimization control method is characterized by comprising the following steps: sampling a combustion nonlinear system of the boiler to obtain input / output data at the current moment; training the real-time sampled input / output data by an online incremental learning fuzzy neural network, building an online incremental learning predicting model of the combustion nonlinear system of the boiler; performing a nonlinear prediction control algorithm on the online incremental learning predicting model for realizing the optimization and the control of the combustion process of the boiler. According to the combustion optimization control method for the power station boiler of the online incremental learning fuzzy neural network, the nonlinear optimization problem in the predication control algorithm is solved by utilizing a particle swarm optimization algorithm through the online identification of the boiler combustion optimization model; the real-time optimization and control of the boiler combustion process are realized.

The invention discloses a control method for motion stability and outline machining precision of a multi-shaft linkage numerical control system. The control method achieves control on the motion stability and outline machining errors of the multi-shaft linkage numerical control system by using a compound control mode of multi-shaft parameter module predictive control and non-linear self-adaptive fuzzy proportional-integral-derivative (PID) control. Simultaneously, error module calculating efficiency is improved by building an outline error module, a speed error module and an acceleration error module. By means of performance optimization indexes, tracking errors, outline errors, speed errors and acceleration errors of the system are minimum, and control performance of a multi-shaft servo control system is improved. Multi-shaft parameter module predicative control increment is solved through a simplified calculating module so as to meet real-time requirements of the control system. Robust property of the multi-shaft linkage numerical control system is improved by adopting the non-linear self-adaptive fuzzy PID control method. The control method effectively improves the motion stability and outline machining precision of the multi-shaft linkage numerical control system.

A golf ball 2 has a spherical core 4, a mid layer 6 situated on the external side of the core 4, and a cover 8 situated on the external side of the mid layer 6. The core 4 has a spherical center 10 and an envelope layer 12 situated on the external side of the center 10. At all points P included in a zone away from the central point of the core 4 at a distance of 1 mm or greater and 15 mm or less, the following mathematical expression is satisfied.H2−H1≦5In the above mathematical expression, H1 represents the JIS-C hardness at a point P1 that is located inside the point P along the radial direction and away from the point P at a distance of 1 mm, and H2 represents the JIS-C hardness at a point P2 that is located outside the point P along the radial direction and away from the point P at a distance of 1 mm.

The invention discloses an adaptive cruise control method based on approximate policy iteration. The adaptive cruise control method comprises the steps of (1), collecting samples; (2), learning on the samples by using an approximate policy iteration algorithm to obtain an approximately optimal policy; (3), optimizing PI controller parameters online in the cruise control, namely, optimizing the PI controller parameters online in a data driving mode by using the approximately optimal policy, so that the cruise control can achieve expected performances. The adaptive cruise control method has the advantages that the principle is simple, online optimization can be achieved, control performances can be improved, and the like.

The invention discloses a specific performance based consistency control method for multiple intelligent agents. The control method comprises that the intelligent agents as communication nodes establish a communication topology; neighbor node and self state information is obtained according to the communication topology; the state information includes the position and speed; a tracking error of aleader is calculated according to the state information; the specific performance of the tracking error is transformed via a design performance function, and a transformed error model is obtained; andaccording to the transformed error model, an event triggering adaptive controller of a follower is designed via a backstepping method and a dynamic surface technology, an event triggering mechanism is designed, and specific performance based consistency control for the intelligent agents is realized. A system can obtain expected transient performance and stable error in the control process rapidly and precisely, the communication cost among the intelligent agents can be reduced, the application range is wide, and the application value is high.

The invention relates to a nanocrystal metal oxide composite electrode and a method for preparing the same. The electrode is suitable for a seawater electrolysis device for preventing the contamination of sea creature and used for electrolytic production of sodium hypochlorite, cathode protection and other electrochemical engineering; a main structure of the electrode comprises a substrate, an anticorrosive antipassivated middle layer and a surface activity layer, wherein the substrate is metal titanium; the purity of the metal titanium is over 99 percent; the middle layer is iridium-tantalum or iridium-tantalum-tin oxide; the surface activity layer is ruthenium-iridium-tin metal oxide; a process for preparing the electrode adopts a sol-gel method and comprises three process steps of the pretreatment of the substrate, the preparation of the anticorrosive antipassivated middle layer and the preparation of the surface activity layer; and the electrode has the characteristics of even compositions, difficulty for burning loss, fine crystal grains, simple preparation process, controllable process and the like.

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 modeling system of a proton exchange membrane fuel cell (PEMFC) and an intelligent predictive control method thereof. The modeling system at least comprises an input-output nonlinear function structuring and implementing module and an intelligent predicative control module, wherein the input-output nonlinear function structuring and implementing module is used for structuring an input-output nonlinear function relationship and identifying the function by using a least square support vector machine method; and the intelligent predicative control module is used for carrying out nonlinear rolling optimization on a predicated target function by using a particle swarm optimization algorithm to acquire the optimal controlled quantity so as to realize the intelligent predicative control over the PEMFC. According to the invention, by means of establishing an output power characteristic model of a PEMFC stack by using input-output data, a complex reaction mechanism inside the PEMFC stack is avoided, and the modeling speed and the modeling precision are high.

It is disclosed an over-coating agent for forming fine patterns which is applied to cover a substrate having photoresist patterns thereon and allowed to shrink under heat so that the spacing between adjacent photoresist patterns is lessened, with the applied film of the over-coating agent being removed substantially completely to form fine patterns, further characterized by containing (a) a water-soluble polymer and (b) a water-soluble crosslinking agent having at least one nitrogen atom in its structure. Also disclosed is a method of forming fine-line patterns using the over-coating agent. According to the invention, one can obtain fine-line patterns which exhibit good profiles while satisfying the characteristics required of semiconductor devices, being excellent in controlling the dimension of patterns.

The invention discloses a time-sensitive heterogeneous network system of an industrial control system, and a management method thereof, and relates to the technical field of network communication. Anindustrial network architecture is established and comprises a bottom layer device layer, a middle layer TSN (time-sensitive network) switch network and a topmost layer control layer. Heterogeneous data are converted into TSN streams, the data are upwards transmitted to a central controller through the TSN switch network, and after the central controller stores, analyzes and calculates the data, agenerated control instruction is downwards transmitted to field equipment through the TSN switch network to regulate the equipment. A control transmission cooperation strategy is introduced, and dynamic parameter updating is carried out according to detection and reconfiguration of CUC (centralized user configuration) and CNC (centralized network configuration) units. According to the invention,the problem that heterogeneous data under different protocols in a traditional network architecture are difficult to be compatible is solved, the determinacy and reliability of industrial data transmission and forwarding are ensured, and the performance optimization of a control system and the resource utilization rate maximization of a network transmission system are realized.