116 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 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 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 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 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 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 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.