A Robust Controller of a Flexible Manipulator Using Genetic Algorithm

Lingli Cui, Jianyu Zhang, Lixin Gao, Feiyue Wang
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引用次数: 4

Abstract

This paper addresses the issues related to the design of robust controller using genetic algorithms (GA) for lightweight, one-link flexible manipulators working under dynamic environments and other uncertain influences. By selecting sensitivity weight functions properly using the GA method, a mixed sensitivity Hinfin controller is developed to ensure robustness of manipulator control systems for varying payloads and other modeling uncertainties. Numeric simulation has been conducted and the results have demonstrated the effectiveness of the proposed method
基于遗传算法的柔性机械臂鲁棒控制器
本文研究了在动态环境和其他不确定影响下工作的轻型单连杆柔性机械臂的遗传算法鲁棒控制器设计问题。采用遗传算法合理选择灵敏度权函数,设计了一种混合灵敏度Hinfin控制器,以保证机械臂控制系统对不同载荷和其他建模不确定性的鲁棒性。数值仿真结果表明了该方法的有效性
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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