Research On Permanent Magnet Linear Synchronous Motor Servo Control System

With the development of science and technology, permanent magnet linear synchronous motor (PMLSM) has been widely applied in high speed, high precision CNC equipments, such as mechanical manufacture, electronics manufacture and so on. Since PMLSM directly drives the linear motion component without any intermediate institutions, it has the merits of high accelerator, high speed, high efficiency and high-precision etc. One of the key technologies is servo control. Based on extensive literature reading, this thesis takes the plate PMLSM as research objective to investigate its servo control system, which adopts TMS320F2812DSP core processor and vector control algorithm. The main contents are as followed:(1) The structure, classification and current situation at home and abroad of the linear motor are introduced, and their traditional control strategies, modern control strategies and intelligent control strategies are comparatively analyzed.(2) The structure and principles of Vector Control are described, and then each control loop in servo system design are investigated, which parameters set rules were derived. In Matlab/Simulink, the simulation model is built and calculated. The simulation results show the former feedforward compensation control can effectively reduce the tracking error of the servo system.(3) The application of Model Reference Adaptive Control (MARS) in the position sensorless control of PMLSM is investigated, and the design rules of MARS adaptive law is derived. Moreover, sliding controller is used to instead of speed PI controller taking advantage of its strong anti-interference. Based on this research, simulation model combining two algorithms is built. The simulation results show that the servo control system has strong anti-jamming capability at large load and the MARS can estimate the speed and position of the motor, which is suitable to position sensorless control system.(4) To the servo control system of a flat PMLSM test platform, the hardware system is analyzed and corresponding software algorithm is completed. The relationship between the tracking error of the system and its controller position loop proportional coefficient is mainly analyzed, as well as that of proportional binding regulator feedforward compensation control. The experimental results verify the theoretical analysis and simulation results.