The Study Of Permanent Magnet Synchronous Motor Control Strategy Based On Model Predictive Control

In the field of new energy technology,motor is the key device of energy conversion.High performance motor and control are the key to efficient energy utilization.Especially in permanent magnet synchronous motor,because of its high efficiency,high power factor,simple structure and wide speed range,it is widely used in household appliances,aviation industry and other industries.The traditional control strategy can not meet the higher control performance requirements of industrial upgrading and rising user demand.Therefore,it is particularly important to explore and study new efficient and high performance control strategies.In this paper,the model predictive control strategy is used to improve the control performance of permanent magnet synchronous motor(PMSM).Model predictive control(MPC)has been applied to industrial process control in the early stage and achieved high benefits,because it can contain constraints and non-linear characteristics of the system.It can be used in multi-variable systems.Its essence can be summarized as current and past state variables to predict future value.At the same time,in the case of setting objective function,MPC can be used to predict future value.The optimal value is obtained and the optimal quantity is acted on the system.It can be said to be an optimal control strategy.Firstly,the mathematical model of PMSM is established,and the voltage equation,flux linkage equation and torque equation in different coordinate systems are established.The principle of the traditional vector control strategy is introduced,and the analysis and algorithm derivation are carried out.The simulation and experimental verification of the anti-load disturbance performance of the vector control strategy in the dynamic and steady speed state and constant speed state are carried out.Secondly,the model predictive control strategy is studied,the development history of model predictive control is briefly introduced,and the principle of model predictive control is introduced.Based on the mathematical model of permanent magnet synchronous motor,the enhanced predictive model is deduced according to its deduction principle.Aiming at themismatch of inductance and resistance,a sliding mode disturbance compensated deadbeat predictive control is proposed to improve the control performance and enhance the robustness against parameter perturbation.Meanwhile,the finite set predictive control is explored.The theoretical model algorithm is deduced and the control block diagram is drawn.Then,the model simulation is carried out on the Simulink plug-in in Matlab,and the control strategy simulation models of the traditional model predictive control,deadbeat predictive control and finite set predictive control are established.The simulation tests of the dynamic and steady speed of speed and the anti-load disturbance ability under constant speed are carried out.The simulation results show that the predictive control has better dynamic response and load disturbance resistance than the traditional vector control.Finally,the control test platform of permanent magnet synchronous motor is built,and the proposed sliding mode disturbance compensation deadbeat predictive control algorithm and the traditional vector control algorithm are selected for experimental test.The test results show that the proposed predictive control has better speed dynamic and steady-state response,good speed tracking effect,strong anti-load disturbance ability,insensitive to parameter disturbance and so on.