Research On Adaptive Fuzzy Control Of Permanent Magent Motor Servo System

As one of the energy conversion devices commonly used in servo systems,the permanent magnet synchronous motor with high performance rare earth has simple structure and good performance.As a fast-growing industrial country,China will move toward a superpower.Studying high-performance permanent magnet synchronous motor servo system is conducive to the rapid development of industrial,aerospace and other fields and the more rational use of full rare earth resources.This paper will use the permanent magnet synchronous motor as the controlled object of the system,and study the fuzzy control and adaptive fuzzy control method for the load mutation problem that often occurs in the system.Through a comparative study,derive a control method that is more suitable for load change occasionsFirst of all,the permanent magnet synchronous motor is modeled in different coordinate systems,compares several commonly used vector control methods,and then chooses a solution with zero direct-axis current.For the current and speed double-loop system,the research direction of the speed outer loop aft er the inner current inner loop is adopted.In the process of designing the current loop,decouple of the direct-axis current and the quadrature-axis current,and then the current loop and speed loop reduction are calculated into a typical system.The design of basic model is completed by the time-domain and frequency-domain analysis methodsSecondly,studied the fuzzy logic control method,the universal approximation of this method can approach nonlinear systems with arbitrary accuracy,this characteristic can deal with the problem of load mutation and parameter uncertainty.Selected MAMDANI type fuzzy controller.According to the relationship between controller parameters and time-domain performance indicators,based on the conventional PID algorithm,a fuzzy controller with self-adjusting PID parameters was designed.Based on the conventional algorithm,a fuzzy controller with self-adjusting parameters was designed.The main tunable parameter quantizing factor and scale factor of the controller are designed and analyzed.On the selection of fuzzy input variables and fuzzy collection sub-elements,the control feasibility and control precision are mainly discussed.Finally,studied a new type of adaptive fuzzy control method.The design process of adaptive fuzzy control is divided into two parts: the acquisition of adaptive law and the design of fuzzy controller.Lyapunov synthesis design method was adopted.The design of the adaptive law uses a backstepping design method,each step ensures that the system is stable under Lyapunov conditions.The fuzzy logic system is used to approximate the non-linear functions that cannot be obtained in the control law,so that the design process becomes simple and easy.The designed adaptive fuzzy controller ensures that all signals of the system are convergent under the premise of ensuring system stability,and the system has a small steady-state error.After each control design was completed,simulation verification was performed.Under the same given conditions,the simulation verified the advantages and disadvantages of various control methods under different operating conditions.The proposed adaptive fuzzy control has a better control effect when dealing with sudden load changes,this method makes the design process of the controller simple and has a good control effect.