Model Predictive Control Of Dual Motor Torque Synchronization System Based On Indirect Matrix Converter

Indirect matrix converter(IMC)multi-machine transmission system uses the intermediate DC link as a busbar to connect multiple inverter stages to drive multiple AC loads.The clamp circuit is simple,requiring only one diode and one small-capacity capacitor.To make the circuit structure more compact and more integrated.The system also has the advantages of less switching devices,high power factor and good input and output waveforms,and is suitable for occasions where multiple motors in the AC speed control system are cooperatively controlled.In this paper,the indirect matrix converterdual-motor system is taken as the research object,and the torque synchronization control strategy of the two motors is deeply studied.In this paper,the torque synchronization error of the indirect matrix converter-dual motor torque synchronous control system is analyzed.Aiming at the problem of openloop of torque synchronization error in the master-slave control structure,a finite set based on diagonal matrix is proposed.Model Predictive Control(FCS-MPC)strategy.As an advanced control algorithm,FCS-MPC has the advantages of fast dynamic response and easy multi-target control of the system.It is suitable for dual motor torque synchronous control system and solves the optimization problem of multiple control targets.Through the unified modeling of the IMC dual-motor system,the synchronization error is taken as a new state variable to the switching state selection of the IMC inverter stage.The rectification stage of the IMC still adopts the space vector modulation strategy without zero vector.In the multi-motor system weighted summation value function FCS-MPC,as the number of motors increases,the number of weight coefficients also increases,making tuning difficult.Therefore,based on the unified prediction model of the IMC dualmotor system,this paper constructs the standard form of the quadratic value function,transforms the problem of setting the three weight coefficients into an auxiliary diagonal matrix,and based on the system’s Lyapunov.In the stability analysis of Lyapunov,an off-line algorithm is proposed.The obtained diagonal matrix can guarantee that the value function is a Lyapunov function in the continuous control period,which ensures that the error vector converges to zero and the system is asymptotically stable.The problem of self-tuning of weight coefficients is solved.The control strategy proposed in this paper is simulated on MATLAB/Simulink.The simulation results show that compared with the traditional control strategy,the tracking error and synchronization error of each motor in the system have good convergence,and the torque synchronization control performance is greatly improved.The steady-state control accuracy has also been improved;at the same time,it has better dynamic response capability for sudden changes in load conditions such as load fluctuations.