Research And Design Of Parameter Identification And Control System For PMSM

The advantages of PMSM in structure and efficiency make it play a key role in robotics,automated production and other fields.In the vector control of PMSM,the parameters of the motor can be used to tune the parameters of the controller to achieve optimal control effect.However,changes in temperature during operation,changes in magnetic saturation,and changes in operating conditions often result in changes in electrical parameters(_sR?_sL??_f)and moment of inertia.Changes in these parameters can have a certain impact on the control functions based on the precise model of the motor.Therefore,this paper took the PMSM as the research object,and identification of the electrical parameters and moment of inertia of the PMSM was studied.Based on the parameter identification,the self-adjustment of the controller parameters was further studied.The performance of each part of the system was analyzed on a computer simulation platform.Firstly,the paper analyzed the basic principle of vector control.The classical control theory was used to adjust the parameters of current loop and speed loop.The motor model in Simulink was modified to dynamically change its parameters and built a simulation model.Secondly,the off-line identification of rotational inertia based on fixed trajectory method was studied.The online identification of moment of inertia based on Landau calculation and forgetting factor recursive least squares was analyzed qualitatively.A variable gain Landau algorithm was proposed.Through simulation experiments,the performance of these three algorithms was compared and analyzed.Thirdly,the off-line identification of electrical parameters was studied,and the adaptive rate design process based on Lyapunov stability and Popov ultra-stability was deduced.The under-rank problem of the steady-state voltage equation of the motor was analyzed.Considering that the traditional MRAS“two-step method”will bring greater computational pressure,so that the“two-step method”was executed in different sampling periods.The average voltage method was used to compensate the dead zone effect of the motor,and its influence on parameter identification was analyzed through simulation experiments.Finally,the controller parameters designed by the classical control theory were combined with the on-line identification of electrical parameters and mechanical parameters to realize the self-adjustment of the controller parameters.The load disturbance reduction dimension observer and the corresponding disturbance compensation algorithm were designed to make up for the defects of the traditional PI anti-disturbance ability and realize the anti-disturbance adaptive control of the speed loop.Simulation experiments was designed to compare the performance of the PI regulator before and after optimization.