Gain optimization of sliding mode speed control for DC motor

Kais Jammousi, M. Bouzguenda, Youssef Dhieb, M. Ghariani, Mohamed Yaich
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引用次数: 1

Abstract

the main objective of this paper is to optimize the parameters of sliding mode controller for DC motor. Ant Colony optimization (ACO) algorithms is used to obtain optimal parameters of Sliding Mode Controller (SMC), which is highly robust to the parameters variations. A model of DC motor is developed and simulated using MATLAB/SIMULINK by introducing external uncertainties and disturbances. The proposed speed control design uses gains generated by the Ant Colony optimization algorithm.
直流电动机滑模速度控制增益优化
本文的主要目的是对直流电动机的滑模控制器参数进行优化。采用蚁群优化算法求解滑模控制器的最优参数,对滑模控制器的参数变化具有很强的鲁棒性。在引入外部不确定性和干扰的情况下,利用MATLAB/SIMULINK建立了直流电机模型并进行了仿真。提出的速度控制设计利用蚁群优化算法产生的增益。
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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