Abstract
The control performance of the finite control set model predictive current control (FCS-MPCC) for the interior permanent magnet synchronous machine (IPMSM) depends on the accuracy of the mathematical model. A novel robust model predictive current control method based on error compensation is proposed in order to reduce the parameter sensitivity and improve the current control robustness. In this method, the equivalent parameters are obtained from the known voltage and current information at the past time and the error between the predicted current and the actual current at the present time, which is utilized in the two-step prediction process to compensate the parameter mismatch error. Finally, the optimal voltage vector is selected by the cost function. The proposed method is compared with the traditional model predictive current control method through experiments. The experimental results show the effectiveness of the proposed method.
Highlights
Different control algorithms of Permanent magnet synchronous motor (PMSM) are studied for achieving different control objectives, such as field oriented control (FOC) [2], direct torque control (DTC) [3,4], fuzzy control [5], nonlinear control [6] and model predictive control (MPC) [7,8,9,10,11,12,13,14,15,16,17,18]
The finite control set model predictive current control (FCS-MPCC) method takes the current as the control object without current loop PI regulation
This paper focus on the FCS-MPCC method
Summary
Scholars have proposed some new methods to improve the control performance of conventional FCS-MPCC with different targets. FCS-MPCC is a control method based on motor mathematical model, its control performance is affected by motor parameters. It is worth studying to reduce the sensitivity to parameters of FCS-MPC to improve the current control performance. In [19], an adaptive Kalman observer is proposed to estimate total disturbance within the closed-loop framework of EMPC It can achieve a stable closed-loop system for zero steady-state offset even if parameter mismatch exists. For IPMSM, a robust model predictive current control method based on current error compensation is proposed in this paper. The experimental results show that the proposed method can effectively reduce the sensitivity to parameters of FCS-MPCC
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