现代制造工程 ›› 2025, Vol. 532 ›› Issue (1): 57-66.doi: 10.16731/j.cnki.1671-3133.2025.01.007

• 机器人技术 • 上一篇    下一篇

基于扩张状态观测器和自适应滑模的上肢柔性外骨骼系统轨迹跟踪控制*

朱鑫宇, 孙振兴   

  1. 南京工业大学电气工程与控制科学学院,南京 211816
  • 收稿日期:2024-01-19 出版日期:2025-01-18 发布日期:2025-02-10
  • 通讯作者: 孙振兴,博士,副教授,主要研究方向为先进机器人控制系统、机电控制系统的时域/频域建模和机电控制系统的抗干扰控制等。E-mail:13142982900@163.com;sunzx@njtech.edu.cn
  • 作者简介:朱鑫宇,硕士研究生,主要研究方向为上肢外骨骼抗干扰。
  • 基金资助:
    * 国家自然科学基金项目(61903816)

Trajectory tracking control of upper limb flexible exoskeleton system based on extended state observer and adaptive sliding mode control

ZHU Xinyu, SUN Zhenxing   

  1. College of Electrical Engineering and Control Science,Nanjing Tech University,Nanjing 211816,China
  • Received:2024-01-19 Online:2025-01-18 Published:2025-02-10

摘要: 针对上肢柔性外骨骼系统存在外界干扰和参数不确定性,导致高精度轨迹跟踪难的问题,设计提出了基于自适应积分全局滑模和扩张状态观测器的上肢柔性外骨骼系统控制方法。首先,利用拉格朗日函数对上肢柔性外骨骼系统进行建模,并将模型分解为两个子系统进行级联控制。其次,使用两个扩张状态观测器来补偿参数不确定性和外界干扰。在位置轨迹控制中,构建了自适应积分全局滑模控制,其中为了避免积分饱和,设计了非线性积分函数,同时建立了衰减函数以加快全局滑模面的收敛速度。利用自适应控制方法来自适应调整趋近律系数,以减少抖振,提高系统的动态性能。最后,通过设计的Lyapunov函数证明了稳定性。实验结果表明,与传统的线性自抗扰控制和积分滑模控制相比,该方法具有更精确的轨迹跟踪效果和更强的鲁棒性,控制精度明显提高,且在外界干扰和系统参数不确定情况下仍保持高精度轨迹跟踪,表明了该控制策略的有效性。

关键词: 上肢柔性外骨骼, 自适应控制, 积分全局滑模控制, 扩张状态观测器

Abstract: A control method for an upper limb flexible exoskeleton system based on adaptive integral global sliding mode and extended state observer was proposed to address the problem of difficulty in high-precision trajectory tracking caused by external disturbance and parameter uncertainty in the upper limb flexible exoskeleton system. Firstly,the upper limb flexible exoskeleton system was modeled by Lagrangian function,and the model was decomposed into two subsystems for cascade control. Secondly,two extended state observers were used to compensate the parameter uncertainty and external disturbances. In the position trajectory control,an adaptive integral global sliding mode control was constructed,in which a nonlinear integral function was designed to avoid integral saturation. At the same time,an attenuation function was established to accelerate the convergence speed of the global sliding mode surface.The reaching law coefficient may be adaptive adjusted using adaptive control method to reduce chattering and to improve the dynamic performance of the system. Finally,the stability was proved by designed Lyapunov function. The experimental results show that compared with traditional linear active disturbance rejection control and integral sliding mode control,the proposed method has a more accurate trajectory tracking effect and stronger robustness, the control accuracy is improved,and high-precision trajectory tracking is still maintained under external disturbances and system parameter uncertainties,indicating the effectiveness of this control strategy.

Key words: upper limb flexible exoskeleton, adaptive control, integral global sliding mode control, extended state observer

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