514results about How to "Improve control quality" patented technology

The invention is concerned with simulation diamond end face polishing-grinding machining method and the expert polishing-grinding machining. Set stuff and put molding plastics-absorption tray on fixture tray and make the concave face of plastics-absorption tray upside, and the simulation diamond adsorbs on the convexity of the bottom to plastics-absorption tray. Set plastics-absorption tray on the polishing-grinding machining and mill the tine end of simulation diamond on calm millstone. The polishing-grinding machining relates rack with a level millstone at its middle, and there are two level trays. They are centrosymmetric to the axis of millstone on top of millstone and have plastics-absorption tray on them. There is up and down equipment for tray on top of level tray which connecting with two turning axes on two sides of millstone with level rack, and the other end of turning axis has running equipment of turning axis. It has large machining amount of each time, high produce efficiency, good ratio to excellent stuff, long work time, easy operation without waste of material.

The invention discloses a turbine DEH system high-pressure regulating valve flow characteristic testing and setting method, which comprises the steps: relieving the AGC and the primary frequency modulation control method of a DEH system high-pressure adjusting valve, and recording the main steam pressure of a unit; relieving the coordination control method and the DEH remote control method of the DEH system high-pressure adjusting valve, and switching in a DEH valve control method and main steam pressure constant pressure automation; forcedly closing the high-pressure adjusting valve by an instruction according to a specified rule, and recording data; forcedly opening the high-pressure adjusting valve by an instruction according to a specified rule, and recording data; determining a flow characteristic correction curve of the high-pressure adjusting valve according to experimental result data. The testing and setting method has the beneficial effects that the unit efficiency and whole performance indexes are improved, the automation control level is improved, the operation efficiency of the unit is improved, and primary energy is saved.

The invention discloses a microminiature unmanned aerial vehicle longitudinal control method with random delay of a distributed network, and belongs to the field of flying control technology. The method includes firstly setting up an unmanned aerial vehicle longitudinal system model and designing a flying control system without network delay, secondly carrying out random robustness analysis and design on the flying control system on the condition of different network random delay, ensuring a gain scheduling strategy of the flying control system, and lastly carrying out closed-loop six-free-degree freedom nonlinear Monte-Carlo simulation verification. According to the control method, deterioration of quality of the flying control system due to network delay is relieved, and stability of the distributed type system can be strengthened. Through utilization of the random robust analysis and design method and the gain scheduling strategy based on linear interpolation, the obtained control has the advantages of being simple, and facilitating engineering realization. Control quality of an original system can be well maintained on the condition of changes of large network delay.

The invention relates to a load-prediction-based control system and method for a heating ventilation air-conditioning system. On the one hand, the load-prediction-based control system (CS) for the heating ventilation air-conditioning system is provided. The control system comprises a foundation database (10), a sensing system (20), a load predication part (30) and a central controller (40), wherein the foundation database is used for storing data related to the heating ventilation air-conditioning system, the sensing system is used for providing measured data related to the heating ventilation air-conditioning system, the load predication part is used for calculating a predicted load value of the heating ventilation air-conditioning system, and the central controller is used for calculating actual load capacity of the heating ventilation air-conditioning system on the basis of the measured data. The central controller sends out a control command for controlling operation of the heating ventilation air-conditioning system on the basis of the difference value of the predicted load value and the actual load capacity. According to the load-prediction-based control system and method, stable and optimized energy saving control over the heating ventilation air-conditioning system can be achieved.

The invention discloses a variable structure control method of a wheeled mobile robot. according the method, the linear motion of a robot is controlled by using a multimodal PID (proportion integration differentiation) control method; and a forward direction of a trolley is corrected by using the combination of a control method and a PID control and a rule control; the two control modes are switched through the changes of a directional angle and a centre offset; the robot is controlled to turn in an in-situ right angle turning mode according to turning direction information and position information; by using the multimode PID control and the combination of the rule control and the PID control, the algorithm can use different control algorithms and corresponding control parameters according to different states of the robot to effectively improve the robot motion control performance; the control mode is divided according to the error change condition so as to reasonably simulate the control behavior of a human; compared with the traditional PID control method, the variable structure control method has a certain intelligence and improves the walking motion control quality of the robot.

The invention relates to a discrete sliding mode repetitive control method for a periodic servo system, which comprises the following steps: identifying a difference equation model of the current servo system, and converting the difference equation model into a state space model; selecting a linear switching function; forming a discrete reaching law, and constructing an ideal switching dynamic state according to the formed discrete reaching law; constructing a discrete sliding mode repetitive controller model according to the ideal switching dynamic state; and using current control variables as the control command for a controlled servo system to enable the servo system to change with reference signals. The invention can weaken the system chattering, and simultaneously inhibit the influence of periodic disturbance on the system, thereby improving the control quality and realizing the accurate control on periodic tracking tasks.

The invention provides an active disturbance rejection control-based method for controlling synchronization of a photovoltaic power generation system. The photovoltaic power generation system is a non-linear system, influenced by power grid and environment and strongly disturbed by the outside and has nonlinear uncertain factors. According to the work characteristics of the system, the active disturbance rejection control technology is adopted to realize effective control of the system. The system dynamically observes the uncertain factors in the system model and external disturbance by utilizing an extended state observer of an active disturbance rejection controller (ADRC) to ensure that the system has good adaptability to disturbance, can adapt to changes of an object model and the surrounding environment in a large range without influencing the control quality of the controller, and represents well robustness.

The invention discloses a design method of a comprehensive disturbance rejection control system for a single-rotor wing helicopter / turboshaft engine. The invention designs a helicopter multi-model fused robust controller for controlling a helicopter and a turboshaft engine nonlinear model forecasting controller for controlling a turboshaft engine respectively, wherein the multi-model fused robust controller is obtained with a method comprising the following steps of: firstly, selecting a certain characteristic parameter of a controlled object, and partitioning the range of the characteristic parameter into a plurality of control subspaces; secondly, designing a corresponding sub-controller in each control subspace respectively; and lastly, performing online fusion on each sub-controller; and the nonlinear model forecasting controller is established with a method comprising the following steps of: training a turboshaft engine model on line to obtain a forecasting model; performing rolling optimization design on the forecasting model with a sequence secondary planning algorithm library; and performing feedback compensation. According to the method, the disturbance rejection capability of a single-rotor wing helicopter / turboshaft engine comprehensive control system can be improved remarkably.

The invention discloses an aquiculture pond dissolved oxygen control system comprising a data acquisition and transmission layer and a data storage and sharing layer, which communicate with each other in a wireless way. By studying the characteristics of nonlinearity, greater inertia, long time delay and time-variation of dissolved oxygen change in an aquiculture pond and the difficult problem that a larger culture area is hard to control, and according to the invention, an aquatic product pond dissolved oxygen control system based on a wireless sensor network is designed, comprises the data acquisition and transmission layer and the data storage and sharing layer and forms a wireless sensor network monitoring system for detecting, intelligently controlling and managing dissolved oxygen in the culture pond.

The invention discloses a control optimizing method for a master controller of supercritical unit boilers. The control optimizing method includes introducing an inertial element F(s) and a lagging element y1 into a feed-forward control branch to replace a modification function My(s) for a main vapor pressure input value ysp which is randomly set by an original system; providing input signals of the lagging element y1 by an element F(s), and leading reference signals yf outputted by the lagging element y1 to act on an input end of a closed-loop control element; and additionally optimizing a transfer function Mu(s) of the feed-forward control branch of an original boiler master control system into a pressure compensation transfer function Mf(s), meeting the requirement of parameter-variable running of a feed-forward function uff of the original boiler master control system, leading the uff and the yf to jointly act on the closed-loop control element, then controlling a follow-up executing mechanism and accordingly realizing master control for the boilers. The control optimizing method has the advantages that the master controller of the boilers can quickly and accurately output instructions to a fuel master controller and a water supply master controller, accordingly a main vapor pressure control effect is guaranteed, response characteristics of load are further ensured, and control quality of the unit and economical indexes are improved.

The invention discloses a wireless sensor network-based central air-conditioning control system and a wireless sensor network-based central air-conditioning control method. The system consists of a chilled-water control subsystem, a cooling-water control subsystem, and a wireless sensor network-based master control system. Due to the inherent hysteresis characteristic of the chilled (cooling) water system, the time synchronization processing is performed on the water outlet / return temperature; the rotating speeds of a water pump and a fan are adjusted by adopting the fuzzy feedback control; and the control quality and comfort of the system are improved. The real-time room temperature of an air-conditioning area is acquired based on a wireless sensor network; and an unoccupied room is detected by combining a Fresnel lens pyroelectric infrared sensor, namely, the feedforward control of the rotating speeds of the chilled (cooling) water pump and the fan is carried out according to a real-time load and a load change value of the air-conditioning, so that the comfort and energy consumption index of the central air-conditioning can be further improved. Based on rated temperature difference parameters of a domestic fan coil, an architecture for serially connecting the fan coil and a new fan unit is provided, and the energy conservation is realized according to the principle of cascade utilization of cold energy.

The invention relates to a robust fuzzy predictive fault-tolerant control method for an interval time-varying-delaying system. The robust fuzzy predictive fault-tolerant control method includes the following steps that firstly, a T-S fuzzy model of a nonlinear system is constructed; secondly, the constructed T-S fuzzy model is converted into an expanded T-S fuzzy model; thirdly, according to the constructed expanded T-S fuzzy model, a fault-tolerant controller that satisfies a control law is designed; and fourthly, a gain of the fault-tolerant controller is solved in a form of linear matrix inequality and the robust fuzzy predictive fault-tolerant control law is calculated. According to the robust fuzzy predictive fault-tolerant control method for the interval time-varying-delaying system,the robust fuzzy predictive fault-tolerant control method with time-delay dependence is provided according to the fact that a type of the industrial process has the characteristics such as nonlinearity, uncertainty, unknown disturbance, interval time-varying-delaying and partial actuator failure, thus the industrial process operates more smoothly and efficiently, the performance of a system is improved, and the fault tolerance of the system is increased.

The invention discloses a parameter-varying load optimization control method of a thermal power generating unit. The method comprises the following specific steps: step 1, generating a judging numerical value through a differentiation element according to a change of a load instruction value; step 2, generating judging conditions of a parameter varying changing-over logic by a high-low amplitude judging module according to the judging numerical value generated by the differentiation element; and step 3, switching a switcher by using a steam engine main controller according to an output command of the high-low amplitude judging module. According to method provided by the invention, a logical structure of the steam engine main controller is optimized and a parameter varying control measure is adopted according to the change condition of load, thereby effectively eliminating the dead zone and inertance of a turbine door regulating executing mechanism, improving the control accuracy and dynamic quality of a system, ensuring a regulating speed, a regulating accuracy and a responsive time of a thermal power generating unit load, and improving the control quality and assessment index of a AGG (automatic gain control) of the thermal power generating unit.

The invention relates to a power coordinated control method for a multi-terminal flexible DC transmission system. According to the method, a converter station with larger rated capacity is selected from a VSC-MTDC (Voltage Source Converter Multi-Terminal DC) system to serve as a main converter station, constant DC voltage control is performed on the main converter station, the other converter stations are divided into two groups, adaptive droop control and constant active power control are respectively performed on the two groups of converter stations, the main converter station performs regulation independently when the unbalanced power in the system is within a regulating range of the main converter station, and when the main converter station is fully loaded or out of operation, the redundant unbalanced power is regulated by a converter station adopting the droop control, the active power outputted by the converter station is automatically regulated according to DC side voltage changes caused by the unbalanced power so as to enable the system power to achieve a balance again. The power coordinated control method can avoid a phenomenon of out-of-limit voltage, reduce voltage fluctuations at the DC side and make full use of the active power capacity of the converter station. The method can effectively improve the control quality of the multi-terminal flexible DC transmission system, and meet control requirements of the system under different operating conditions.

The invention discloses a boiler drum water level self-adaptation PID (proportion integration differentiation) control method in the technical field of electric control. According to the technical scheme, the method comprises the steps of: establishing a two-dimensional dual-input three-output cloud model controller; collecting and controlling system deviation variable quantity e, and calculating the deviation variable rate ec; establishing PID controller setting values delta P, delta I and delta D; substituting the system deviation variable quantity e and the deviation variable rate ec into the two-dimensional dual-input three-output cloud model controller; outputting the setting values delta P, delta I and delta D through seasoning; carrying out linear calculation with a conventional PID controller again, wherein the PID controller which generates novel parameters after setting determines the system output quantity. The boiler drum water level self-adaptation PID control method provided by the invention improves the stability of a boiler drum water level control system, accelerates the system response speed, and intensifies the anti-interference capability on disturbing signals.

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 an industrial mechanical arm anti-interference robustness self-adaptation PID control method. The industrial mechanical arm anti-interference robustness self-adaptation PID control method is characterized in that a robustness self-adaptation PID controller comprises a PID control item, a self-adaptation control item and a robustness control item, the input of the PID control item and the input of the robustness control item are the errors of the position and the speed of a mechanical arm, the input of the self-adaptation control item is the estimation value of indefinite kinetic parameters of the mechanical arm, and the robustness self-adaptation PID control is achieved by carrying out the superposition on the PID control item, the self-adaptation control item and the robustness control item.

The invention discloses a vehicle light control method for an adaptive front lighting system. The method comprises the following steps of: determining the vehicle light turning angle of the adaptive front lighting system (AFS) by using an accelerator pedal, a brake pedal, a clutch pedal, a gear, a steering wheel turning angle and the height information of a front axle and a back axle; simulating the attitude and the speed of a vehicle according to the characteristics of an AFS kinetic model, and acquiring the turning angle of a vehicle light by combining different vehicle types and road conditions; creating a language control rule by combining the empirical ranges of the left, right and longitudinal turning angles of a front light, and performing fuzzy reasoning and constructing a fuzzy control rule table according to the language control rule; and acquiring a fuzzy output decision by calculating a fuzzy relationship, and acquiring the actual control quantity of a vehicle light turning angle through defuzzification so as to output a motor control value to a motor driving module.

The invention relates to a nonlinear control method for a small unmanned helicopter, especially to an attitude control method for the small unmanned helicopter based on a second-order self-adaptive terminal sliding mode controller, and realizes rapid attitude error convergence and maintains relatively accurate attitude tracking control effect and relatively high system robustness under the condition that external interference of the small unmanned helicopter exists. According to the technical scheme of the invention, a second-order self-adaptive terminal sliding-mode method is applied to attitude system control of the small unmanned helicopter under the condition that the small unmanned helicopter has external interference. The method comprises the following steps that 1) an attitude dynamics model of the small unmanned helicopter is determined; 2) an attitude angle tracking error is defined, and a dynamics error model is arranged; 3) a control law is designed; and 4) self-adaptive control gain is designed. The method of the invention is mainly used for nonlinear control of the helicopter.

The invention discloses an adjustment and control method for the synchronism of guide vanes of a large-scale water turbine, comprising the following steps: the resistance value of a drive coil of a servomotor is measured and then accurately defined in a single guide vane controller; the zero position and the full scale of a single guide vane instruction of the single guide vane controller are adjusted; a guide vane in the single guide vane controller synchronously controls adjustment of the zero position and the full scale of the instruction; the zero position and the full scale of a guide vane opening displacement sensor are adjusted; the vane mechanical bias voltage is measured and adjusted; the control parameter of the single guide vane is set; the synchronous control parameter of the guide vane is set; the starting time and the closing time of the guide vane are measured and adjusted; a single guide vane displacement transmitter gives a failure alarm; a single guide vane control loop gives an alarm; and an overall guide vane control loop gives an alarm. The adjustment and control method improves the control precision of guide vanes of a hydropower generating unit; the deviation of the opening instruction and the feedback is small; the action synchronism of the guide vane is good; both the starting time and the closing time of the guide vane meet the design requirements; the maximum deviation of the switching time is better than that of the standard requirement.

The invention discloses a CAN bus-based barton environment temperature control system, which comprises three parts, namely a data acquisition and control platform, an intelligent barton breeding environment temperature control system and an expert system for setting an ideal temperature value. Aiming at the characteristics of non-linearity, great inertia, great time-lag and time-dependent nature as well as the problem of control difficulty of barton breeding environment temperature change, the invention designs the CAN field bus-based barton breeding environment temperature control system, which is a field bus monitoring system for realizing detection, intelligent control and management on breeding environment temperature through the data acquisition and control platform, the intelligent barton breeding environment temperature control system and the expert system for setting the ideal temperature value, and the requirement of farmers on improving economic benefit through high-quality and high-efficiency control over the barton breeding environment temperature is met, so that the system has great popularization value.

The invention discloses an automatic gain control (AGC) optimizing control method of a supercritical unit under coal quality changes, which comprises (1) correcting differential feed-forward of main vapor pressure deviation according to a coal quality correction coefficient British thermal unit (BTU), (2) correcting proportion feed-forward of unit load instructions according to the coal quality correction coefficient BTU, and (3) correcting proportion coefficient K of boiler master control according to the coal quality correction coefficient BTU, overlying the corrected differential feed-forward of the main vapor pressure deviation in the step (1) and the corrected proportion feed-forward of the unit load instructions in the step (2) to serve as new master control feed-forward of the unit boiler, enabling the corrected proportion coefficient K of the boiler master control in the step (3) to serve as an input quantity in a follow-up proportion integration differentiation (PID) step, and achieving output control of the unit boiler master control. The AGC optimizing control method of the supercritical unit under the coal quality changes has the advantages that by optimizing a logic structure of a unit boiler master controller, measures of sectional parameter varying are adopted specific to different coal quality, stability of main vapor pressure of the unit is effectively ensured, and control quality and key performance indexes of the AGC of the supercritical unit are improved.

The invention relates to a compensation adjusting method for a main steam pressure of a thermal power generating unit. The method comprises: differential and amplitude limit processing is carried out on an offset signal of an actual main steam pressure value and a set value and then processed signal is superposed to a first-level overheating steam temperature set value of a first-level overheating temperature control system, and the main steam pressure is compensated and adjusted by using a first-level overheating temperature-reducing water flow; an offset signal of a second-level overheating steam temperature set value and an actual value is processed by differential, dead zone, and amplitude limit processing and then the processed signal is superposed to a power generating load set value of a cooperation control system; and when a changing rate of the second-level overheating steam temperature offset signal exceeds a dead zone interval, the second-level overheating steam temperature offset is reduced by changing a power generating load. According to the invention, the main steam pressure offset is compensated and adjusted by using the first-level overheating temperature-reducing water flow; and second-level overheating steam temperature protection logic is added to the power generating load control system. Therefore, on the premise that the overheating steam temperature control quality is not reduced obviously, the control quality of the main steam pressure is improved effectively; and the fluctuation amplitudes of the main steam pressure and fuel quantity during the load changing process of the thermal power generating unit are reduced.

The invention provides a flight control method for accurate landing of an unmanned aerial vehicle. The flight control method comprises the following steps that a target identification graph is manufactured; a matching parameter is selected when the unmanned aerial vehicle flies to a landing position; an image of a landing site is found by a camera; the unmanned aerial vehicle moves above the landing site; and horizontal distance, positive direction angle and landing speed are controlled through image identification, and finally the unmanned aerial vehicle lands on the ground and paddles are stopped. According to the flight control method for accurate landing of the unmanned aerial vehicle, the landing process is divided into a plurality of stages according to different heights, error parameters and landing speed of each stage are arranged differently, and the requirements that required flight precision and time are gradually improved with height reduction and precision improvement of the distance and angle are met; and horizontal distance control needs to be controlled by four-grade PID, by adding a control section and variable, stability, anti-interference performance and controlquality of the unmanned aerial vehicle is improved, so that accurate control is guaranteed. It is ensured that the whole process is stable, reliable and timely and the precision is high.

The present invention provides a self-service machine ground simulation system controller based on a SCM. The core hardware of the controller adopts AT89C52 as a controller chip, a SCM controller takes charge of the works including data reading of a coder, reading and distinguishing of key signals, choosing and reading of limiting signals, data processing, displaying and delivering of position and speed signals to a work controlling machine. The SCM controller takes charge of finishing the inspecting, the distinguishing and the alarming of simulator error protection signals and reporting the corresponding error signals to the work controlling machine. The work controlling machine mainly takes charge of the control rule resolving and the synthetical treatment of various states of signals for the self-service machine ground simulation system controller. The software of the controller adopts the modularized design idea and essentially comprises a main program module, an intermitting treatment module, an operation controlling module, a fault supervising and protecting module, a key treatment and display module and so on. The software of the controller can collect signals of the self-service machine ground simulation system real time, such as position signals, speed signals, key signals, offside signals, and fault protecting signals and so on, and unite the work controlling machine to control the self-service machine ground simulation system synthetically.

A path tracking control method of an intelligent vehicle comprises the following steps that 1) a two-freedom-degree planar movement model of the vehicle is established and simplified according to control demands to obtain a nonlinear vehicle path tracking control model; 2) an expected yaw angle function psid is constructed so that the yaw angle function psid satisfies that the lateral displacementdeviation Ye of the vehicle is converged to 0 when the yaw angle of the vehicle approaches an expected yaw angle; 3) a yaw angle tracking control problem is converted into a yaw angle calming problem; 4) a nonlinear control including an expected yaw angle module, an expanded state observer and a nonlinear error feedback control law of a non-singular terminal sliding-mode is designed; and 5) pathtracking control is carried out on the vehicle on the basis of the nonlinear controller.

The invention discloses a horizontal-type solid fermentation tank and fermentation method for Pu-erh tea. The fermentation tank comprises a tank body supported by a tank body support, and a clamp jacket is installed outside the tank body; the top of the tank body is provided with feed inlets, exhaust ports, diversion plates connected with heating wires, a water inlet and a water replenishing and inoculation opening; the bottom of the tank body is provided with a discharge outlet, a water vapor inlet, a sterile air inlet, a carbon dioxide inlet, a drying ventilation opening and a water outlet, and a stirring system is further arranged in the tank body. According to the fermentation method, a traditional Pu-erh tea pile-fermentation technology is changed, production standardization and specification rationalization of the Pu-erh tea are achieved on the condition that fermentation conditions such as microorganism species, tidal prism, temperature, fermentation time, inoculated-pathogen quantities and oxygen and carbon dioxide content of the Pu-erh tea are comprehensively considered, the fermentation process of the Pu-erh tea is artificially controllable, and the quality of the Pu-erh tea is more stable, safer and more controllable.

The invention provides a method for detecting a hearth radiation energy signal and a method for controlling boiler combustion by using the same, and belongs to the field of combustion monitoring and controlling. The method for detecting the hearth radiation energy signal comprises steps of analog-to-digital conversion, color value extraction and hearth radiation energy signal calculation. In the method for controlling air quantity of hearth combustion, the optimum oxygen quantity calculated by using the hearth radiation energy signal, set oxygen quantity and set offset are added, and the sum is sent to an oxygen quantity regulator to control the air quantity of the hearth combustion. The method for controlling superheater attemperating water comprises the steps of combining the hearth radiation energy signal with a heat signal to form a heat value signal; and introducing the heat value signal to a heat regulator to control the superheater attemperating water. The radiation energy signal detected by the method has the advantages of stability, reliability, capability of accurately reflecting the combustion situation in the hearth space in real time, and strong correlation with unit operation parameters; and when the new heat value signal constructed by the radiation energy signal is introduced to air supply and attemperating water control loops of the unit, the control effect of the unit can be optimized, and the efficiency of the unit can be improved. Therefore, the method for controlling the boiler combustion is suitable for combustion optimization control of a pulverized coal fired boiler of a thermal power generating unit.