Patents
Literature
Eureka-AI is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Eureka AI

1142 results about "Fuzzy control system" patented technology

A fuzzy control system is a control system based on fuzzy logic—a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic, which operates on discrete values of either 1 or 0 (true or false, respectively).

Trajectory tracking control method used for automatic driving robot of vehicle

InactiveCN102358287AGuarantee reliability test qualityImprove test safetyFuzzy control systemVehicle orientation
The invention discloses a trajectory tracking control method used for an automatic driving robot of a vehicle, which relates to electronic control technologies of vehicles. The desired trajectory of a vehicle is described in a data point mode to obtain the current position information of the vehicle; humanoid driving is carried out according to the current driving direction at the current vehicle position to preview a distance ahead; the position obtained by previewing is compared with the desired trajectory to determine the lateral position deviation, the angle deviation and the vehicle speed deviation of the coordinate position obtained by previewing relative to the desired trajectory; then, the vehicle direction is jointly controlled by a trajectory tracking and speed controller according to position deviation and direction deviation; and according to vehicle speed deviation, the control quantities of an accelerator pedal and a brake pedal are determined with a fuzzy control method. The trajectory tracking control method is suitable for controlling the trajectory tracking of any trajectory, various vehicle types and various working conditions, and an automatic driving robot performs the control. The trajectory tracking control method has high precision and good repeatability and has an important meaning for guaranteeing the quality of vehicle reliability experiments and improving experiment safety.
Owner:BEIHANG UNIV

Air conditioner control method and air conditioner control device

The invention discloses an air conditioner control method, which comprises the following steps that the indoor temperature is detected; a difference value between the indoor temperature and the temperature set by a user is calculated according to the indoor temperature and the temperature set by the user; the initial operation frequency increment of an air conditioner compressor is calculated according to the difference value and a fuzzy control rule, and the initial operation frequency is calculated according to the initial operation frequency increment for controlling the compressor to operate at the initial operation frequency; the operation time of the compressor is detected; when the operation time is greater than the preset time, and if the absolute value of the difference value is smaller than or equal to a preset threshold value, the operation frequency modification value is calculated according to the difference value and a PID (proportion integration differentiation) control model, and in addition, the operation frequency modification value is overlapped onto the initial operation frequency for controlling the compressor to operate at the modified operation frequency. Therefore the operation frequency of the compressor can realize fast response to the load change, the fast refrigeration and heating can be realized, meanwhile, the temperature can be precisely controlled, and the energy sources can be effectively saved. The invention also discloses an air conditioner control device.
Owner:WUHAN REFRIGERATION EQUIP OF MIDEA GROUP

Central air conditioner intelligent control system based on wireless sensor network and method

The invention discloses a central air conditioner intelligent control system based on a wireless sensor network and a method, and belongs to the technical field of central air conditioner control. The central air conditioner intelligent control system comprises an intelligent information management center, wireless communication devices, a central air conditioner information monitoring and control module, a room information monitoring and control module and the like. The invention adopts the method that the central air conditioner intelligent control system is used to monitor information, build a data base, calculate current load of the system, and realize advance, accurate and optimized control of a central air conditioner system by combining a short-term loading forecasting method based on similar dates and fuzzy control technology, as well as taking the temperature variation of supply/return chilled/cooling water of a central air conditioner as the manipulated variable. The central air conditioner intelligent control system has the characteristics of great communication capacity, guaranteed communication quality, powerful network functions, wide monitoring range and extensive control quantity of the central air conditioner system, optimized control, high control accuracy, good energy saving effect and the like, and can be widely used in energy-saving optimizing control of various buildings, and is particularly suitable for energy-saving optimizing control of central air conditioners of intelligent buildings.
Owner:CHONGQING UNIV

Mobile robot multi-behavior syncretizing automatic navigation method under unknown environment

InactiveCN101354587AReduce redundant rulesOmit the defuzzification processTarget-seeking controlAdaptive controlSupport vector machineSimulation
The invention discloses a multi-behavior combining auto-navigation method for a mobile robot in an unknown environment. The method is characterized in that the method comprises the following steps that (1) current azimuth angle is obtained in real time according to the relative positions of an object and the mobile robot, and a plurality of distance parameters are obtained in real time according to the status of obstacles around the mobile robot; (2) a multi-output support vector machine fuzzy controller outputs a corner value Theta i and a velocity value vi according to the obtained azimuth angle and distance parameters, wherein i is equal to 1, 2 or 3; (3) a multi-output support vector machine environmental-identification controller inputs signals and outputs weight parameters wi of three subbehaviors according to input signals of the azimuth angle and the distance parameters, wherein i is equal to 1, 2 or 3; and (4) current corner value Theta i and velocity value vi of the mobile robot used for navigation are calculated according to the formula. The multi-behavior combining auto-navigation method adopts intelligent control strategy, and has the advantages of strong self adaptation, high navigation reliability and excellent effect.
Owner:HUNAN UNIV

Fuzzy control system and method of throttle mechanism

The invention discloses a fuzzy control system and a method of a throttle mechanism. According to the invention, a refrigeration cycle system comprises a compressor, a condenser and an evaporator. The control method comprises the following steps: monitoring the refrigerant vaporization temperature and water supply fluid temperature of the evaporator, and defining the small temperature difference of the evaporator as the temperature difference of subtracting the refrigerant vaporization temperature from the water supply fluid temperature; monitoring the temperature and the saturation temperature of the refrigerant discharged by the condenser, and defining the condenser depression of the refrigerant discharged by the condenser as the difference of subtracting the refrigerant temperature from the refrigerant saturation temperature; and calculating the opening of the throttling orifice of an electronic expansion valve by utilizing the small temperature difference of the evaporator and the condenser depression of the refrigerant discharged by the condenser. The method and the device of the invention can solve the problem of failure to realize stable and precise regulation on the opening of the electronic expansion valve due to the unstable liquid level signals of the evaporator in the prior art.
Owner:YORK WUXI AIR CONDITIONING & REFRIGERATION CO LTD +1

Yaw control method for large-sized wind-driven generator group

InactiveCN101498282AIncrease annual power generationHigh precisionWind motor controlMachines/enginesWind drivenBlade pitch
The invention relates to a yaw control method for a large-sized wind powered generator unit. A current yaw angle reference value alpha reference is obtained according to a current wind direction, a current yaw angle practical value alpha practice is obtained by a encoder or a tachometer, a yaw angular error delta alpha is obtained by subtracting the yaw angle practical value alpha practice by the current yaw angle reference value alpha reference, and a corresponding yaw mechanism control rule is calculated by integrating the yaw angular error delta alpha and the variation tendency thereof by a fuzzy controller. Furthermore, an obtained electrical signal of the yaw mechanism control rule is sent to a yaw actuating mechanism to control a propeller pitch angle, and the yaw angle of the wind powered generator unit traces the yaw angle reference value alpha reference to enable the yaw angle practical value alpha practice and the yaw angle reference value alpha reference of the wind powered generator unit to be kept consistent. The invention obviously enhances the total precision, is favorable to increasing the year total generated energy of the wind powered generator unit, has high adaptability for complex and extreme cases, greatly enhances the operating effectiveness, furthest prolongs the mechanical life of the yaw actuating mechanism, and also has low remodel difficulty and low cost.
Owner:BEIJING NEGO AUTOMATION TECH

Navigation control system based on vision and ultrasonic waves

The invention relates to a navigation control system based on vision and ultrasonic waves, which comprises a caterpillar robot body, an ultrasonic ranging subsystem, a vision subsystem and a motion control subsystem, wherein the ultrasonic ranging subsystem is arranged in front of the robot, the vision subsystem is arranged over the robot, and the motion control subsystem is positioned above the robot. The ultrasonic ranging subsystem comprises ultrasonic transmitters, ultrasonic receivers and a signal processing circuit, and a plurality of transmitters and a plurality of receivers are distributed in an equally spaced mode. The vision subsystem comprises a CCD (Charge Coupled Device) camera, an analog-to-digital conversion circuit and a DSP (Digital Signal Processor) image processor, and the motion control subsystem comprises a DSP motion controller and corresponding peripheral circuits. Information processed by the vision subsystem and the ultrasonic ranging subsystem is transmitted to a fuzzy controller inlaid in the motion control subsystem, and the fuzzy controller outputs control information to control the motion of the robot. The system has the advantages that the advantages of visual navigation and ultrasonic navigation are combined, so the navigation accuracy is increased; as the DSP high-speed processor is adopted, the instantaneity and the expandability are increased; and the anti-jamming capability is enhanced through applying a fuzzy control method.
Owner:NORTHWEST A & F UNIV

Moment distribution method for self-adaptive cruise control system of four-wheeled independent drive electric automobile

The invention discloses a moment distribution method for a self-adaptive cruise control system of a four-wheeled independent drive electric automobile. An ideal acceleration command is calculated through an upper layer control method and input in a lower layer control method, the lower layer control method is used for calculating the ideal drive moment according to the ideal acceleration command calculated through the upper layer control method and distributing the moment to four wheels, and the problem that a traditional self-adaptive cruise control system cannot be directly applied to the four-wheeled independent drive electric automobile is solved. Smoothly-restrained model prediction control is adopted in the upper layer control method, the practicality of the self-adaptive cruise control system is improved, and the requirements for safety, comfort and economical efficiency of a driver are met. Fuzzy control is adopted in the lower layer control method, so that the ideal longitudinal moment is obtained, the moment is distributed to the four wheels according to the vertical load proportions, and the robustness and practicality of the self-adaptive cruise control system of the four-wheeled independent drive electric automobile are improved while the dynamic quality of the four-wheeled independent drive electric automobile is guaranteed.
Owner:DALIAN UNIV OF TECH

Energy storage optimization and coordination control method for direct-current micro grid group

The invention relates to an energy storage optimization and coordination control method for a direct-current micro grid group. When multiple sub micro grids are operated in parallel, an energy storage system in each sub micro grid automatically adjusts power distribution according to the maximum charging and discharging power and the state of charge (SOC) of the corresponding energy storage system, and therefore the safety of the energy storage systems is improved while distributed generated power fluctuation can be smoothed and the bus voltage quality can be improved; when the energy storage systems of all the sub micro grids cannot effectively buffer the system power supply and demand, an energy storage power station needs to be connected to control stabilization of the bus voltage. According to the energy storage optimization and coordination control method for the direct-current micro grid group, the virtual impedance of droop controllers of all energy storage units in the energy storage power station is adjusted by adopting fuzzy control to achieve automatic distribution of the power among the different energy storage units and SOC balance, fuzzy input is segmented, the SOC balancing speed of the fuzzy input in different ranges is increased by adopting fuzzy control, bus voltage drop caused by droop control is compensated by adopting a bus voltage feedback control method, and the bus voltage quality is improved.
Owner:SHANGHAI UNIVERSITY OF ELECTRIC POWER

Sliding-mode control method for parameter-free driving-insufficient UUV (Unmanned Underwater Vehicle) vertical plane route tracking

The invention provides a sliding-mode control method for parameter-free driving-insufficient UUV (Unmanned Underwater Vehicle) vertical plane route tracking. The sliding-mode control method comprises the following steps: I, performing initialization; II, acquiring a current state of a UUV; III, establishing an error equation of the horizontal plane of the driving-free UUV so as to obtain position deviation values xe and ze and course deviation value theta e; IV, according to a sliding-mode control method, respectively designing traveling speed sliding-mode self-adaptive control rules, position sliding-mode control rules and trimming angle sliding-mode self-adaptive control rules, controlling propelling force Xprop, an excepted traveling speed U and a torque Mprop, wherein eu is 0, xe is 0 and theta e is 0; V, designing fuzzy control rules for a boundary layer, setting k to be equal to k+1, turning to step II, and updating control rules and self-adaptive rules of a next time. By adopting the sliding-mode control method, a controller for stabilizing a system can be designed only according to a vertical surface kinetic model, self-adaptive rules can be designed for water kinetic parameters with uncertainties, furthermore a control system can be relieved from dependency on parameters, the system has robustness, and the influence of the uncertainties on the sliding-mode control approaching process can be reduced.
Owner:HARBIN ENG UNIV

Wind farm energy storage capacity optimization method in consideration of optimal desired output and charge state

The invention discloses a wind farm energy storage capacity optimization method in consideration of optimal desired output and charge state. The method comprises the steps as follows: firstly, a computing method of an optimal desired output is proposed and utilizes a function with minimum square deviation of offset of a grid-connected power target value as an objective function, setting subjectivity of a stabilizing fluctuation output power target value is eliminated, and the computing method serves as the premise of energy storage capacity optimization; secondly, an energy storage SOC (state of charge) parameter is introduced, charge-discharge power is timely adjusted on the basis of the fuzzy control theory, SOC and charge-discharge states, an energy storage charge-discharge strategy is built, and excessive charge and discharge are effectively restrained; and finally, an optimal model is built with minimum sum of the penalty cost associated with the SOC and the operation cost, so that the energy storage capacity optimization integrating a schedule decision-making requirements, energy storage operating service life and economic efficiency is achieved, and related optimizing problems are solved with improved PSO (particle swarm optimization). The solution algorithm provided by the method is fast, efficient, and strong in convergence capacity.
Owner:SHANDONG UNIV

Air conditioner control method, air conditioner control device and air conditioner

The invention discloses an air conditioner control method, an air conditioner control device and an air conditioner. The control method includes the steps that the indoor environment temperature and the outdoor environment temperature are detected; the difference value delta T between the indoor temperature and the temperature set by a user is computed; the operating time of the air conditioner is detected; when the operating time is smaller than a preset time, the fuzzy control coefficient of a compressor is computed according to the difference value delta T, the outdoor environment temperature and a preset fuzzy control rule, and the operating frequency of the compressor is computed according to the fuzzy control coefficient; and when the operating time is larger than or equal to the preset time, the operating frequency correction value of the compressor is computed according to the difference value delta T and a preset PI control model, and the operating frequency correction value is added to the operating frequency to control the compressor to operate according to the corrected operating frequency. According to the control method, fuzzy control and PI control are combined to control the compressor so that the compressor can achieve a better control effect; and the precision of steady control is guaranteed and the steady state error is eliminated while the higher response speed is achieved.
Owner:GD MIDEA HEATING & VENTILATING EQUIP CO LTD +1
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products