Robust Cascaded Nonlinear Generalized Predictive Control with Sliding Mode Disturbance Observer for Permanent Magnet Synchronous Hub Motor

Jialun Cui, Zheng Chen, Jiangwei Shen, Shiquan Shen, Yonggang Liu
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Abstract

In this study, a nonlinear generalized predictive controller (NGPC) in a cascaded structure, combining with sliding mode disturbance observer (SDMO), is proposed to control the permanent magnet synchronous hub motor (PMSHM) with uncertainties and disturbances. The NGPC is designed on the basis of the Taylor series expansion to approximate the predictive response in finite time domain. Since NGPC cannot thoroughly remove the deviation in the load torque variation and parametric uncertainties, an improved SMDO is exploited to estimate and compensate the deviation of controller. The developed controller can fulfill the performance of strong robustness and fast dynamic response with easy regulation characteristics. The simulation results manifest the effectiveness of the designed control strategy applied to the PMSHM drive.
基于滑模扰动观测器的永磁同步轮毂电机鲁棒级联非线性广义预测控制
本文提出了一种基于级联结构的非线性广义预测控制器(NGPC),结合滑模扰动观测器(SDMO)对具有不确定性和扰动的永磁同步轮毂电机(PMSHM)进行控制。NGPC是在Taylor级数展开的基础上设计的,用于在有限时域近似预测响应。由于NGPC不能彻底消除负载转矩变化和参数不确定性带来的偏差,利用改进的SMDO来估计和补偿控制器的偏差。该控制器具有鲁棒性强、动态响应快、易于调节等特点。仿真结果表明了所设计的控制策略在永磁同步电机驱动中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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