Research On PMSM Speed Control System Based On Weighted DMPTC Optimization Strategy

Under the background of traditional energy intelligent reform,AC motor as a key link of energy exchange,the application of high-performance control strategies will directly affect energy transmission efficiency and motor operation reliability.With the advancement of control strategies for AC electric drive systems,model predictive control technology,as an emerging high-performance control strategy,has received widespread attention in the field of motor control because of its simple principle,high dynamics,and the ability to achieve multivariable control.In this paper,the application of model predictive torque control strategy in the speed control system of permanent magnet synchronous motor is further discussed,and the main research details are as follows:(1)For the problem of difficult design of weight coefficients in model prediction torque control strategy,this paper adopts a model prediction torque control method based on minimum interaction error.This method omits weight coefficient design,and calculates interaction errors based on defined evaluation terms in each control cycle,and the voltage vector corresponding to the minimum interaction error is the optimal vector.The weightless control method used has strong versatility and adaptability to multiple operating conditions.The analysis of the related simulation results reveals that this weightless control strategy can improve the magnetic chain control effect during steady-state operation of the motor compared with the model predictive torque control.(2)To address the problem of large torque and magnetic chain pulsations during steady-state operation of the traditional model prediction torque control strategy,this paper introduces a duty cycle adjustment module based on the aforementioned weightless model prediction torque control.In each control cycle,different duty cycle calculation methods are used according to the priority of torque and flux control.When the priority of torque control is high,the torque ripple minimization method is used.When the priority of flux control is high,the duty cycle information of effective voltage is determined based on the amplitude of the stator magnetic chain error vector and the amplitude of the stator magnetic chain increment under the action of the optimal voltage vector.The adopted duty cycle calculation method integrates the torque and magnetic chain control objectives and also fits better with the adopted weightless model predictive torque control strategy.Simulation reports reveal that this optimization method improves torque control performance by about 22.5%and magnetic chain control performance by about 30.3%compared to the conventional model predictive torque control strategy.(3)A hardware experimental platform based on STM32F103 was built to program and experimentally analyze the model predictive torque control and the improved optimization strategy used in this paper.The experimental results verify the feasibility and effectiveness of the control strategy adopted in this paper.The results of the steady-state current harmonic analysis show that the best steady-state phase current quality is achieved by the weightless model prediction torque control strategy based on duty cycle regulation.