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Tuning of SMC Parameters for Robotic Manipulator Based on Whale Optimization Algorithm

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

A 2-link robotic manipulator is selected as a research instance, a sliding mode control(SMC) law is designed. Parameters tuning of sliding mode controller is converted to a nonlinear optimization problem with the objects of minimizing the trajectory tracking error and eliminating chattering of the control torques. The whale optimization algorithm (WOA) is adopted in this paper to obtain the best parameters of controller, and a comparative study with the results that are searched by particle swarm optimization (PSO) is made. Through simulation of the manipulator, control effects of the parameters obtained by the two optimization methods are compared. Research shows that WOA is a viable optimization method for parameter tuning of sliding mode control of robotic manipulator, and the optimization model proposed in this paper can effectively eliminate the chattering problem of control torques.

源语言英语
主期刊名WRC SARA 2019 - World Robot Conference Symposium on Advanced Robotics and Automation 2019
出版商Institute of Electrical and Electronics Engineers Inc.
248-253
页数6
ISBN(电子版)9781728155524
DOI
出版状态已出版 - 8月 2019
活动2nd World Robot Conference Symposium on Advanced Robotics and Automation, WRC SARA 2019 - Beijing, 中国
期限: 21 8月 2019 → …

出版系列

姓名WRC SARA 2019 - World Robot Conference Symposium on Advanced Robotics and Automation 2019

会议

会议2nd World Robot Conference Symposium on Advanced Robotics and Automation, WRC SARA 2019
国家/地区中国
Beijing
时期21/08/19 → …

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