Predictive Trajectory Control Strategy for Permanent Magnet Synchronous Motor Drives Based on Deadbeat Predictive Flux Linkage Control Method
Xin Sun, Yiwei Tang, Xi Xiao, Yulong Xie
Abstract
Deadbeat predictive controller features a two-sample step response with the existence of one-sampling-period digital delay in a motor drive. However, voltage deficiency is common during abrupt torque change and it inevitably degrades the dynamic performance. In this article, a novel predictive trajectory control strategy with improved dynamic performance is presented for permanent magnet synchronous motor drives. The predictive trajectory controller is developed based on a deadbeat predictive flux linkage controller, and it aims to achieve fast current transient response considering the voltage and current constraint. With the control scheme, deadbeat response is achieved for the case of sufficient voltage margin, and transient performance is optimized for the case of insufficient voltage margin. Solution of the optimization problem is visualized with a geometrical description and analyzed in different spaces. In addition, the trajectory optimization is combined with dynamic overmodulation algorithm to simplify the computation and save the code execution time. Experimental results are finally provided to validate the excellent performance and low computational cost of the proposed control scheme.