Optimal integral sliding mode for speed control of permanent magnet synchronous motor

Fatemeh Khorsand, R. Shahnazi, Esmaeil Fallah Choulabi
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Abstract

In this paper, optimal integral sliding mode controller is proposed to control the speed of permanent magnet synchronous motor (PMSM). The conventional sliding mode speed controller and the sliding mode controller with variable switching gain are considered. To increase the robustness of both controllers integral sliding surface is used. Although, these methods can guarantee asymptotic stability and satisfactory performance of the closed-loop system, it suffers from nonoptimality and no saturation limit for q-axis reference current. In order to solve the non-optimality problem in the presence of saturation limit for q-axis reference current all the parameters of both controllers are derived via particle swarm optimization (PSO) algorithm in order to minimize an appropriate cost function. Compared with the conventional optimal PI controller, numerical simulations of the proposed schemes show a remarkably better improvement in performance and robustness in the presence of saturation in q-axis current, unknown parametric drifts and unknown load torque.
永磁同步电机最优积分滑模速度控制
本文提出了一种最优积分滑模控制器来控制永磁同步电动机的转速。研究了传统的滑模速度控制器和变开关增益滑模控制器。为了提高两个控制器的鲁棒性,采用了积分滑动面。虽然这些方法可以保证闭环系统的渐近稳定性和令人满意的性能,但对于q轴参考电流存在非最优性和无饱和限制。为了解决q轴参考电流存在饱和极限时的非最优性问题,采用粒子群优化(PSO)算法推导出两个控制器的所有参数,以最小化合适的代价函数。与传统的最优PI控制器相比,数值仿真表明,在q轴电流饱和、未知参数漂移和未知负载转矩的情况下,所提方案的性能和鲁棒性都有显著提高。
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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