吉林大学学报(信息科学版) ›› 2015, Vol. 33 ›› Issue (4): 402-.

• 论文 • 上一篇    下一篇

基于操作空间的机械臂自适应模糊鲁棒控制

王光勇a, 杜巧玲b, 刘振泽a, 尹苍穹a   

  1. 吉林大学a. 通信工程学院, 长春130022; b. 电子科学与工程学院, 长春130012
  • 出版日期:2015-07-24 发布日期:2015-12-02
  • 作者简介:王光勇(1988—), 男, 吉林榆树人, 吉林大学硕士研究生, 主要从事欠驱动机器人研究, (Tel)86-13196002380(E-mail) 1379352025@ qq. com; 通讯作者: 刘振泽(1978—), 男, 长春人, 吉林大学副教授, 硕士生导师, 主要从事康复机器人、欠驱动机器人研究, (Tel)86-13504464339(E-mail)liuhaozz@126. com。
  • 基金资助:

    吉林省科技发展计划基金资助项目(20100184)

Adaptive Fuzzy Robust Control for Manipulator Based on Operational Space

WANG Guangyonga, DU Qiaolingb, LIU Zhenzea, YIN Cangqionga   

  1. a. College of Communication Engineering, Jilin University, Changchun 130022, China;b. College of Electronic Science & Engineering, Jilin University, Changchun 130012, China
  • Online:2015-07-24 Published:2015-12-02

摘要:

为提高动力学模型不确定的机械臂系统的跟踪精度, 提出了一种基于操作空间的自适应模糊的鲁棒轨迹跟踪控制方法。考虑存在未知的外部扰动和其他未建模动态, 引入GL(General Linear)矩阵及其乘法算子,利用模糊系统逼近任意非线性函数的能力对机械臂动力学进行前馈补偿, 通过鲁棒控制项抑制建模误差和有界扰动。该方法无需求解机械臂在操作空间的动力学模型。根据Lyapunov 稳定性理论证明了系统的稳定性,并通过仿真实验验证了所设计控制器能达到较好的轨迹跟踪效果。

关键词: 操作空间, 机械臂, 模糊控制, 自适应控制, 鲁棒控制

Abstract:

In order to improve the manipulator system whose mechanical model of tracking precision is uncertain, a robust trajectory tracking control method, which is self-adaptive and based on an operational space, was researched. And taking into account the presence of unknown external disturbances and other non-modeled
dynamics, GL(General Linear) matrix and its multiplication operator were introduced and the ability of fuzzy systems was applied to approximate any nonlinear function which could render feedforward compensation to the manipulator dynamics. Modeling errors and bounded disturbances were inhibited through robust controls. This method does not need to solve the dynamic model when manipulator is in the operational space. According to Lyapunov stability theory, the stability of the system was proved. Finally, a relatively high effect of trajectory tracking control was ascertained by the simulation experiment on the designed controller.

Key words: operational space, manipulator, fuzzy control, adaptive control, robust control

中图分类号: 

  • TP242. 6