Research On Pmsm Speed Control System Based On SMPTC Optimization Strategy

Permanent magnet synchronous motor(PMSM)has been widely used in the field of servo control and AC speed control system because of its advantages in structure and efficiency.With the increasing requirements of various industrial environments for the performance of its speed control system,various intelligent control strategies are gradually applied to the control of the speed control system.Among them,model predictive torque control(MPTC)has become one of the research hotspots of the combination of traditional control and intelligent control because of its advantages of dealing with multivariable system and rapid dynamic response.In this paper,the existing algorithm of MPTC is deeply studied,and its problems in practical application are further improved.The main work is as follows:1.Aiming at the problem of the difficulty in selecting the weight factor of model predictive torque control,a sequential model predictive torque control method suitable for permanent magnet synchronous motor speed control system is adopted,and the hierarchical idea is used to realize the model predictive torque control without weight factor.Finally,the effectiveness and feasibility of the method are verified by simulation and experiment.2.Aiming at the problem of large torque and flux ripple in the steady-state operation of the original control scheme,based on the sequential model predictive torque control,combined with the subdivision of space voltage vector,this paper increases the number of predicted available voltage vectors,so as to obtain the voltage vector which is more suitable for the speed regulation system.The simulation and experimental results show that the method can effectively reduce the torque and flux ripple of the speed control system in steady-state operation without weight factor.3.Aiming at the problem that the sequential model predictive torque control method combined with vector subdivision optimization has a large amount of calculation,the control idea of calculating the optimal voltage vector based on time optimal trajectory is introduced.By using inverse model derivation,the expected voltage vector of the next control cycle can be calculated before vector prediction evaluation,which simplifies the calculation process of the original control algorithm.The experimental results show that this method not only reduces the complexity of the control algorithm,but also improves the dynamic response performance of the speed control system.4.The experimental platform of PMSM AC speed control system based on STM32F103 is built to verify the traditional model predictive torque control strategy,sequential model predictive torque control strategy and optimized sequential model predictive torque control strategy,Finally,the steady-state phase current experimental waveforms and program running time of the three control strategies under different conditions are compared and analyzed.The experimental results show that the proposed sequential model predictive torque control optimization scheme and algorithm simplification strategy are feasible and practical.