114 results about "Fuzzy adaptive control" patented technology

The invention provides a steer-by-wire system and a stability control method thereof. The steer-by-wire system comprises a steering wheel module, a front wheel steering module and an ECU electronic control unit, wherein the ECU electronic control unit comprises a variable transmission ratio controller, a fuzzy self-adaptive PID controller and a full state feedback controller. The stability control method is as follows: the variable transmission ratio controller calculates an ideal transmission ratio at the moment according to a steering wheel rotation angle signal and a vehicle speed signal, to obtain an ideal front wheel rotation angle at the moment; the full state feedback controller of an automobile calculates a compensation rotation angle of front wheels according to a yaw rate signal and a lateral acceleration signal of the automobile, to realize the outer ring control of the steer-by-wire system; and finally the fuzzy self-adaptive PID controller is designed, to realize the inner ring control of the steer-by-wire system. The operating stability of the automobile is effectively improved through the coordinated control of inner and outer rings of the steer-by-wire system.

The invention discloses an adaptive fuzzy teleportation control method based on a disturbance observer, comprising the following steps: step S1: establishing a dynamic model for a master arm and a slave manipulator of a bilateral teleportation system; step S2: designing a corresponding disturbance observer for unknown interference from a slave edge; step S3: for the kinematics and dynamics uncertainty of the manipulator, estimating and compensating the manipulator by using a fuzzy adaptive controller, and designing an adaptive fuzzy controller based on the disturbance observer. The invention provides a design method of an external disturbance observer. At the same time, for the kinematics and dynamics uncertainty of the master and slave ends, the present invention utilizes the fuzzy adaptive control method to counteract the influence of uncertainty on the stability and synchronization performance of the system. Moreover, the slave end controller is combined with the disturbance observer based on this design to further eliminate the influence of external unknown interference on the system.

The invention discloses a method for constructing a neutral network generalized inverse adaptive controller of a three-motor driving system. Three frequency converters respectively drive three induction motors to drive a load to form the three-motor driving system, the rotating speed setting values of the three frequency converters are set by S7-300 PLC (Programmable Logic Controller), the neutral network generalized inverse of the three-motor driving system is constructed by using a static neutral network, two integrators and three transfer functions, and the neutral network generalized inverse is connected in front of the three-motor driving system to form a pseudo linear compound system. Corresponding fuzzy adaptive controllers are respectively designed for one speed subsystem and two tension subsystems to form a fuzzy adaptive closed-loop controller, and the fuzzy adaptive closed-loop controller and the neutral network generalized inverse are connected in series to form the neutral network generalized inverse adaptive controller. Control parameters can be adjusted online according to system errors, the starting time and the overshoot of the system can be greatly reduced, and the tracking accuracy and the tracking speed of the system are obviously increased.

The invention discloses a design method of a three-channel adaptive control system for an axisymmetric aircraft based on motion state comprehensive recognition for solving the technical problem of poor practicability of the existing fuzzy adaptive control method for a hypersonic flight vehicle. The design method adopts the following technical scheme: building a characteristic model applicable to real-time online recognition of characteristic parameters; building the relationship between the characteristic parameters of the aircraft and the motion state of the aircraft, and then directly or indirectly building a characteristic state variable of the flight state of the aircraft for online real-time comprehensive recognition according to the measurable result of the exiting sensor on the aircraft on the motion state variable; combining the built characteristics state variable with the concrete control method according to the performance index of the flight control system, so that the designed control system can carry out comprehensive recognition on the motion state of the aircraft, the effects of quickly recognizing the motion state of the aircraft online and adjusting the parameter of the control system are achieved, and the practicability of the three-channel adaptive control system for the axisymmetric aircraft is improved.

The invention relates to a self-adjusting control method that uses step fuzzy and adopts gathers main axis power. It could adjust the feed ratio and main axis rotating speed ratio on line. On the serving links of on CNC-PLC and setting milling usage of NC program to realize rotating speed of main axis and adjusting online, the target of constraining main axis power of intelligent step control for milling process would be realized. It could effectively improve processing efficient and processing quality.

The invention provides a fuzzy adaptive control based method for tracking output of a power generation plan of a light storage system. The method comprises the following steps of reading relevant data of a photovoltaic station and an energy storage system; randomly simulating day-ahead actual output of photovoltaic power generation, and building a chance constraint planning tracking model containing a control coefficient; determining a target power control coefficient by using a fuzzy adaptive control method; and controlling the working condition coefficient of the energy storage system according to time frames so as to determine a charging and discharging power optimization scheme. According to the method provided by the invention, a more accurate control coefficient is screened out, the traditional defect of coefficient adjustment by manual based on experience is avoided, and a light storage combined power generation tracking effect is effectively led to be between an upper limit and a lower limit of the plan and is also maintained to be optimal; and the charging and discharging power and the charged state of the energy storage system both are kept in an appropriate range, the charging and discharging ability is improved, the requirement for the energy storage system is reduced, and a solution scheme is provided for a day-ahead scheduling plan of the output of the energy storage system in the actual engineering application.

The invention discloses a command filter limited time fuzzy control method of a permanent magnet synchronous motor. The control method is capable of, in allusion to the existent nonlinear problem in a motor drive and control system, introducing a command filter technology into the traditional backstopping design method, and successfully overcoming the problem of 'computation explosion' in the traditional backstopping control caused by the continuous derivation. A fuzzy logic system is used for approaching the nonlinear function in the system, and the command filter backstopping technology is combined with a fuzzy self-adaption method to construct a fuzzy self-adaptive controller; the limited time method has the anti-interference performance and the robustness to the signals, such as the external load interference; and under the limited time control, the system stability tracking error is small, the dynamic response time is short, and the convergence rate and the interference rejection capability of the system are improved. Compared with the prior art, the control method has the faster response speed, the stronger anti-interference performance and the better tracking effect.

A method for suppressing subsynchronous oscillation of a wind power series compensation system includes the following steps: Step 1: timely detecting the frequency and voltage condition of a wind power series compensation system to determine whether subsynchronous oscillation occurs in the wind power series compensation system; Step 2: determining the variation of subsynchronous oscillation according to the oscillation of the wind power series compensation system; Step 3: if subsynchronous oscillation shows a gradually deepening state, enabling additional damping control to improve subsynchronous oscillation of the wind power series compensation system, so as to achieve the suppression of the subsynchronous oscillation of the wind power series compensation system; and Step 4: If the subsynchronous oscillation shows a gradually declining state, enabling fuzzy adaptive control to improve subsynchronous oscillation of the wind power series compensation system to achieve the suppression of the subsynchronous oscillation of the wind power series compensation system. The method can realize subsynchronous oscillation suppression of the wind power series compensation system more flexibly according to the actual working conditions of the power system.

The invention discloses a flexible mechanical arm system fuzzy control method based on a series/parallel estimation model. The method comprises the steps of: building a dynamic model of a flexible mechanical arm servo system, and initializing a system state, a sampling time and control parameters; compensating unknown nonlinear uncertain items in the mechanical arm system by adopting the self-learning and self-adaptive capacity controlled by a fuzzy neural network; introducing virtual control quantities in each design through a dynamic surface technology, and preventing the complexity explosion problem caused by a traditional inversion control method through a first-order low-pass filter; and meanwhile, determining variable prediction values and designing related change rules based on the series/parallel estimation model to improve robustness of the control system. The fuzzy self-adaptive control method based on the series/parallel estimation model can effectively improve the control performance of the flexible mechanical arm servo system and realize quick and precise system tracking.

The invention relates to a high frequency welding complex automatic control system that comprises thermodetector which detects the welding temperature, pressure sensing device which detects the compressional force, velometer which detects the welding speed, steel band thickness meter, current/voltage transmitter, high-speed light-spacer A/D plate, industrial computer equipped with fuzzy self-adaptive algorithm which possesses hierarchy, high-speed light-spacer D/A plate, high frequency machine. The effect of the invention is that the structure is simple and the cost is low. The industrial computer control system equipped with fuzzy self-adaptive algorithm which possesses hierarchy is adopted, the control precision is increased, and the welding quality is improved.

The invention provides a two-phase hybrid stepping-motor closed loop control method. A control system related to the method comprises an encoder, a current collector, a mathematic model, a Kalman observer, a fuzzy adaptive controller and a vector controller. The method comprises the following steps that stepS1, through the encoder, an angle and an angular velocity are acquired; and through the current collector, a current is acquired; stepS2, the current passes through the mathematic model, an output moment is acquired; stepS3, the angle, the angular velocity and the output moment carry out data fusion processing via the Kalman observer so as to acquire an angle feedback value, an angular velocity feedback value and an angular acceleration feedback value; stepS4, an angle expectation value, the angle feedback value, the angular velocity feedback value and the angular acceleration feedback value pass through the fuzzy adaptive controller so as to acquire an Q shaft current expectation value; and stepS5, during a motor operation process, a D shaft current expectation value maintains to be zero; and the Q shaft current expectation value, the D shaft current expectation value and the current acquired by the current collector pass through the vector controller, and a controlled quantity is acquired and is used to control the motor.

The invention discloses a temperature control method based on a fuzzy self-adaptive controller. The temperature control method is realized via the fuzzy self-adaptive controller, a three-phase voltage-regulating module, a heating module and a temperature sensor. The fuzzy self-adaptive controller is composed of generalized prediction control and fuzzy control. The fuzzy self-adaptive controller is generated via combination of the generalized prediction control and the fuzzy control. The generalized prediction control or the fuzzy control are selected by the fuzzy self-adaptive controller to realize flexible control of a heating system according to different error situations of the system so that heating is more uniform, temperature control is more accurate and thus industrial production efficiency is enhanced.

A hybrid energy storage scheduling method and system based on a virtual fuzzy adaptive control algorithm is disclosed. The battery-like characteristics of a heating system are extracted based on the basic architecture of a household DC electric-heating coupling system, and a two-stage dynamic differential model considering the dynamic characteristics of multi-energy flow is established. Based on the two-stage dynamic differential model, the capacity and state of charge of liquid and gaseous virtual batteries, which reflect the characteristics of heat storage and temperature-controlled load operation, are calculated. Based on the coefficient of performance of heat pump, the fuzzy membership function of energy storage unit operation priority is designed. A fuzzy control rule is designed; Byusing the principle of minimum membership degree, the fuzzy judgment results of the power distribution coefficients of the energy storage unit under different working conditions are obtained. The final power distribution coefficient of energy storage cell considering the capacity difference of energy storage cell are obtained; based on the final power allocation coefficient and total dispatching power, considering the energy storage power constraints, the final power allocation strategy is calculated to achieve hybrid energy storage dispatching.

A system used for controlling the preheating course of roll-welding tube being zinc-plated and plastic-coated comprises current mutual inductor for measuring the heating current, I/V converter, heating voltage interface, entrance temperature detector, voltage converter, speed detector for measuring tube speed, pulse input interface board, A/D input interface board, industrial computer and its peripheral device, D/A output interface boar and execution mechanism. Its controlling method is also disclosed.

The invention belongs to the technical field of motor vehicle electric control, and particularly relates to a control method and system for an active steering system of a pilotless automobile, and the method comprises the steps: obtaining an active steering current through a PID controller according to the difference between a target steering angle sent by a decision-making layer and an actual steering angle; inputting the active steering current into a motor, and outputting a target current; and applying motor output torque to front wheels through a steering system to form a main control ring. According to the method, the difference value between the actual current and the required reverse boosting current is eliminated through the proposed fuzzy self-adaptive PID control algorithm, and the motor can quickly and accurately output the target current.

The invention belongs to the technical field of automatic control, and relates to a fuzzy control method for an exoskeleton system. The main idea of ​​the present invention is to solve the problem that traditional exoskeleton prototypes adopt PID position servo control. Although engineering can basically meet the control requirements, once the external environment or system parameters change, the mathematical model of the system will change. Changes ensue, which makes the system poorly controlled. The present invention designs the control law algorithm on the basis of the mathematical model of the hydraulic servo system. After the control model changes, the fuzzy adaptive control can track the expected curve better than the PID, and has the advantages of real-time performance, stability and robustness. There are clear advantages in terms of sex.

The invention belongs to medicament adding technical field, and concretely relates to an intelligent on-line medicament adding system. The system comprises a medicament storage device, a medicament adding pipeline and a control system. The system is characterized in that the medicament adding pipeline includes a medicament conveying pipeline, and the medicament conveying pipeline is provided with a metering pump for adjusting the medicament conveying amount, a PH meter for monitoring PH values and a plurality of valves for controlling the pipeline to be on and off; and the control system includes a PLC core controller, a PID digital-analog controller, a GPRS module, a switch and a DCS controller. On-line acquired analog quantities such as a PH value, a liquid level, flow and temperature are taken as feedback values, a PID mathematic model is established, a fuzzy adaptive control algorithm is optimized, a diagnosis system is established, the medicament adding amount is calculated, then control data is input to the metering pump, and thus the adding amount of medicaments is controlled accurately.

The invention provides a pneumatic proportional valve fuzzy sliding mode self-adaptive control method based on a T-S model. The method is characterized in that the method comprises the following steps: the step 1) carrying out T-S model structure identification; the step 2) identifying T-S model parameters by utilizing a least squares support vector machine; and the step 3) designing a fuzzy self-adaptive controller according to the identified T-S model to carry out control on a pneumatic servosystem so as to enable a controlled object to carry out pressure tracing on given reference signals. According to the method, the pneumatic servosystem is served as a research object, the T-S model of the object is identified through the input / output data, and then, control of the pneumatic servosystem is realized based on the identified model. Compared with an existing PID control method, the control method in the invention allows vibration and overshoot of output pressure of a proportional valve to get smaller obviously, and thus smooth control of the pressure is realized. The control method can be dynamically adaptive to uncertain factors of the controlled object.

The embodiments of the invention provide a heating control method and a heating cooking device, which belong to the control field of heating. The method comprises the following steps: in a first heating stage, the heating tube of the heating cooking device performs heating continuously under control, wherein the first heating stage is a heating stage in which the temperature in the cavity of the heating cooking device does not exceed a first preset temperature; in a second heating stage, the heating tube performs heating periodically under control, wherein the first heating stage is a heating stage in which the temperature in the cavity exceeds the first preset temperature but does not exceed a second preset temperature; and in a third heating stage, the heating tube performs heating under control of a fuzzy adaptive control mode, wherein the third heating stage is a heating stage in which the temperature in the cavity exceeds the second preset temperature but does not exceed a target temperature. The phenomenon of temperature overshoot in the heating process of the heating cooking device can be avoided.

The invention provides a fuzzy self-adaptive control system for parameters of a visual sensor. The system is characterized in that a signal output end of a detection device is connected with a signal input end of an input interface; a signal output end of the input interface is connected with a signal input end of a fuzzy controller; a signal output end of the fuzzy controller is connected with asignal input end of an output interface; a signal output end of the output interface is connected with a signal input end of an execution mechanism; a signal output end of the execution mechanism is connected with a signal input end of a control object; and a signal output end of the control object is connected with a signal input end of the control object. The system has the advantages that a fuzzy self-adaptive control algorithm does not adopt human eye observation, system time and other unreliable factors; closed loop control on parameters of the visual sensor is realized; input parametersare fuzzified, set parameters of the video sensor have high setting speed through the fuzzy controller; and the parameters are regulated and set in real time. The input parameter is calculated through the fuzzy controller, so that the best image quality and effect can be acquired for the sensor.

The invention relates to an energy storage system tracking plan power output method and device for accessing new energy source power generation. The method comprises a step of defining the constraint condition and objective function of an energy storage system and constructing a tracking model comprising a control coefficient, a step of calculating energy storage system power output related to the control coefficient, a step of updating the control coefficient by using a fuzzy adaptive control method, a step of optimizing the energy storage power output by using the updated control coefficient, and finally obtaining optimized energy storage power output, and a step of considering the state of charge of the energy storage system while tracking a plan curve such that the state of charge is in a reasonable range, and stabilizing the fluctuation of power. A function that the energy storage system cooperates with new energy power generation to track a scheduling plan in real time is achieved.

The invention discloses an intelligent vehicle crosswind resistance control method based on fuzzy adaptive PID control, and the method comprises the steps: obtaining a target route of a vehicle when the vehicle meets crosswind interference during high-speed driving, wherein the current state of the vehicle is compared with the target route, and the yaw velocity and the side slip angle error of thevehicle are obtained; obtaining the error change rate of the yaw velocity and the side slip angle according to the yaw velocity and the side slip angle error of the vehicle; according to the error and the error change rate, based on a fuzzy self-adaptive PID controller, determining the control quantity of the vehicle wheel corner; and sending the wheel rotation angle control quantity to a steering motor controller so that the steering motor controller can apply steering torque to a steering column according to the wheel rotation angle target value to complete vehicle steering, and therefore the lateral force of tires is controlled. According to the invention, the fuzzy self-adaptive PID is adopted to control the vehicle when the vehicle is interfered by the crosswind, so that the vehiclehas a certain anti-interference capability on the crosswind, and the operation stability of vehicle driving is improved.