The Research On PMSM Servo System Based On Adaptive Fuzzy Sliding Mode Control

In the control strategy of permanent magnet synchronous motor servo system, asingle control method is difficult to achieve the desired control effect. Therefore, themutual integration of various control algorithms has become a focus of current research.Sliding mode control inherent chattering problem, and the robustness and chatteringperformance cannot meet the requirements at the same time. Adaptive fuzzy systemprovides an effective method to solve the shortage existing in sliding mode control.Currently, the study on adaptive fuzzy sliding mode control, most are in the theoreticalresearch and simulation phase, less practical application. In order to promote theusefulness of adaptive fuzzy sliding mode control, the adaptive fuzzy sliding modecontrol algorithm and its application in servo control is studied in this paper. Theresearch results show that the proposed method has made great progress in bothrobustness and chattering performance.Firstly, this paper analyzes the reason why sliding mode control can't jugglechattering and robustness. Based on the basic principle of adaptive fuzzy control system,using fuzzy systems in the form of fuzzy basic function instead unknown function anduncertainties in the sliding mode control law, adaptive laws are designed according toLyapunov stability theory to realize the fuzzy rules' parameters online adjustment, theadaptive fuzzy sliding mode controller is proposed to solve the sliding mode controlcan't juggle chattering an robustness.Then, the improved adaptive fuzzy sliding mode controller is proposed to simplifythe design of the adaptive fuzzy sliding mode controller and make it easier forapplication. The controller is composed of fuzzy control and switch control. The fuzzycontrol is used to approximate the ideal equivalent control, and the switch control isused to compensate the approximation error. At the same time, in order to eliminate theneed for approximation error bound, an adaptive error estimation mechanism ispresented to real-time change approximation error bound. According to the linearadjustable parameter or not, the improved controller can be divided into two cases.Finally, under the environment of MATLAB/Simulink, PMSM servo sontrolsystem simulation model is established, to complete the simulation reach; Forcompleting experimental verification, a semi-physical simulation experiment platform isbuilt based on AD5435. Through the comparison of the simulation and experimentresults analysis shows that the adaptive fuzzy control strategy can overcome thedeficiency of the sliding mode control, for system parameter variations and loaddisturbance has better robustness and obviously weaken the chattering, better dynamiccharacteristics; The improvement measures make the controller structure and design more simple, while maintaining the good control performance.