Research On Model Predictive Current And Torque Control Strategy For Permanent Magnet Synchronous Motor

The exhaust emissions from traditional fuel vehicles have become a major threat to the environment.Replacing traditional fuel vehicles with electric vehicles is an effective measure to address energy shortages and environmental pollution.As the core component of electric vehicles,permanent magnet synchronous motor(PMSM)can be well applied to electric vehicles due to its advantages of high efficiency,high power density,and wide speed range.This dissertation takes the internal permanent magnet synchronous motor(IPMSM)as the research object,and conducts research on its IPMSM mathematical model,model predictive current control(MPCC)based on sliding mode speed controller(SMSC),and improved model predictive torque control(MPTC)based on Kalman anti-disturbance observer(KADO).The main work and innovative achievements are as follows:1.On the basis of elaborating on the research background and current status of IPMSM,the basic structure and principle of the IPMSM were analyzed,the mathematical models of the IPMSM were derived in three different coordinate systems,and the principle of space vector pulse width modulation was expounded.2.An SMSC based MPCC strategy is proposed to address the issue of susceptibility to parameter mismatch in IPMSM control system using the MPCC strategy.This strategy designs an SMSC with a new approach law and replaces the traditional speed controller.Two types of extended state observer(ESO)are designed,which are combined with the SMSC and model predictive current control(MPCC)prediction sections respectively,using the real-time total disturbance estimation of ESO to compensate for the interference caused by parameter mismatches in the controller,Improves the anti-disturbance performance of the IPMSM control system during operation.3.To accurately obtain the current rotor position angle and the load torque,as well as avoid erroneous selection of the optimal voltage space vector during the optimization stage,an MPTC strategy using KADO was proposed.This strategy combines Kalman filter(KF)to design KADO,which enables the motor to estimate accurate rotor position angle and load torque in an environment full of the white noise disturbance.At the same time,the estimated value is used for one-step delay compensation,and an active voltage space vector table is used to reduce a large amount of computation,improving the anti-disturbance performance of the IPMSM control system.4.Based on the rapid control prototype,a software and hardware experimental platform for the IPMSM was constructed,and the control algorithms of MPCC based on SMSC and improved MPTC based on KADO were transformed into C language for experimental research and proof.Experimental results demonstrate the effectiveness and feasibility of the proposed method,and improve the robustness of the IPMSM control system.