Research On Intelligent Control Method And Its FPGA Implementation For PMLSM Servo System

Permanent magnet linear synchronous motor(PMLSM)is widely used in rail transit,precision CNC machine tools,aircraft carrier electromagnetic catapult and other fields.Cause it has many advantages,such as high thrust density,fast response,high power factor,low loss and high controllable precision.However,due to the PMLSM control algorithm's complex and the amount of calculation is large,so the design of high-performance PMLSM intelligent control servo system with high stability and good real-time performance has important theoretical value and practical application value.This paper puts the PMLSM as the specific object,and aims to design and develop the PMLSM intelligent servo control system realized by FPGA.The mathematical model establishment,MATLAB performance simulation and FPGA hardware Implementation of PMLSM intelligent servo control system are deeply studied.The main work and conclusions are as follows:(1)on the basis of summarizing and comparing the application of PMLSM,PMLSM control strategy,key technologies and hardware realization methods of PMLSM servo system,this paper analyzes the basic structure and basic working principle of PMLSM,deduces the mathematical model of PMLSM,and expounds the vector control principle of PMLSM,the structure of closed-loop control system,the coordinate transformation of PMLSM and the control principle of SVPWM,which provides a good theoretical basis for follow-up research.(2)an intelligent compensated sliding mode control(ICSMC)system is developed in order to improve the control performance of the PMLSM servo drive system,so that it can accomplish the high performance control of the rotor tracking cycle reference trajectory of the PMLSM servo drive system.By this way,the radial basis function network(RBFN)estimator with accurate approximation ability is used to directly estimate the concentrated uncertainties,including parameterchanges,external disturbances and nonlinear friction forces.By using Lyapunov theorem,an adaptive learning algorithm for online training of RBFN is derived,so that the stability of the closed loop can be ensured.(3)by decomposing the system / module from top to bottom and constructing the module / system from bottom to top,with the main module of Simlink in MATLAB and the module encapsulated by self-built S function as the assistant,the simulation model of ICMCS controller of intelligent control servo system and module / system of SVPWM subsystem is constructed in the form of schematic diagram,and the simulation results are analyzed.Simulation results show that the control method has good control performance,such as good tracking effect and good stability.(4)taking Quartus II 13.0 as the FPGA development software platform,by decomposing the system/module from top to buttom,and building the system/module from bottom to top,the PMLSM intelligent control servo system FPGA is designed and implemented.It includes the overall structure of PMLSM intelligent control servo system,the system timing control module,position coding interface module,motor magnetic field control module,ICSMC module,SVPWM module and other main modules of the internal composition of the schematic diagram,the actual realization circuit diagram,VHDL program simulation result diagram and simulation result analysis.With the simulation results,the design of the main modules is improved to be correct and feasible.