仿生机器人系统的最优控制:协同方法

M. Lazarevic, A. Obradović, Marko Joka, Ljubiša Bučanović
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引用次数: 2

摘要

提出了一种基于生物启发控制原理的机器人系统最优控制方法——协同控制,解决了执行器冗余问题。在用庞特里亚金极大值原理求解最优控制问题的框架下讨论了冗余控制问题。提出了联合执行机构协同的方法,该方法由协调层的优化律建立,其中引入了Bernstein[1]中建议的中央控制。这样,就可以得到控制变量的特定约束。最后,以一个具有三个自由度和四个控制变量的合适机器人为例,验证了所建议的生物启发最优控制的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biologically inspired optimal control of robotic system:synergy approach
This paper suggests a new optimal control of robotic system based on a biologically inspired control principle-synergy, which allows resolving actuator redundancy. The redundancy control problem has been discussed in the framework of optimal control problem which is solved by Pontryagin's maximum principle. Joint actuator synergy approach is suggested which is established by optimization law at coordination level, where is introduced a central control as suggested Bernstein in [1]. In that way, one may obtain a specific constraint(s) on the control variables. Finally, the effectiveness of suggested biologically inspired optimal control is demonstrated with a suitable robot with three degrees of freedom and four control variables as the illustrative example.
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