Adaptive Fuzzy Command Filter Control Of Permanent Magnet Synchronous Motor Based On Finite Time

Compared with traditional synchronous motors,permanent magnet synchronous motors(PMSMs)have simpler structure and lower cost because of their different excitation modes.Because the permanent magnet synchronous motors have the advantages of simple structure,small volume,high efficiency and reliable operation and et al.,permanent magnet synchronous motors are widely used in production and application.However,the dynamic mathematical model of permanent magnet synchronous motors is a complex nonlinear model with high order and strong coupling.Moreover,the uncertainties of motor parameters and external load disturbance easily affect the control effect of the system.Therefore,it is of great significance and value to study and solve the uncertain parameters and load disturbances of permanent magnet synchronous motors.Traditional control strategies,such as vector control and direct torque control,have greatly improved the performance of permanent magnet synchronous motors,but these methods have not been fully proved in theory,and these methods have not fundamentally solved the problem of motor parameters change and external load disturbance.In order to overcome the drawbacks of the classical control method and improve the control performance of permanent magnet synchronous motors,in this paper,the adaptive fuzzy finite-time command filtered tracking control for permanent magnet synchronous motors are studies based on finite time,command filtering,adaptive fuzzy and backstepping design principle.The main efforts of this paper are as follows:Firstly,the finite-time command filtered position tracking control method is developed for permanent magnet synchronous motors.The command filtered method is introduced to avoid the problem of “explosion of complexity” in traditional backstepping method.At the same time,error compensation mechanism is employed to reduce the error caused by command filters.The finite-time control method is used to make the tracking trajectory of PMSMs converge to a very small neighborhood near the equilibrium point in finite time.Secondly,Aiming at the problem of parameter uncertainty in permanent magnet synchronous motors,this paper uses adaptive fuzzy technology to solve the non-linear function in the process of controller design,and effectively solves the adverse effects of strong coupling and time-varying parameters.Then,combining command filter technology with backstepping design method to solve the problem that backstepping method needs too much computation in high-order systems.Then,error compensation mechanism is adopted to reduce the errors produced by command filters.The finite-time technique improves the convergence speed and error tracking accuracy of the systems,and enhances the anti-interference ability of the system to parameter changes and load disturbances.Thirdly,the proposed control methods are compared with the command filtering method without finite-time technology and the finite-time dynamic surface method.The simulation programs of the systems are compiled by using the software of MATLAB.The simulation results show that the proposed methods can achieve faster convergence speed and more accurate and effective position tracking control for PMSMs systems.