基于积分滑模的机械臂自适应轨迹跟踪控制

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Mingce Qi, Shuzhen Han, Guangxin Guo, Pengfei Liu, Yuanyuan Zhi, Zhanshan Zhao
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引用次数: 0

摘要

针对刚性机械臂的轨迹跟踪控制问题,提出了一种基于积分滑模的有限时间收敛自适应控制方案。只要扰动及其导数是有界的,这种自适应增益可以随系统扰动自动调整,而不需要更多的信息。因此,可以明显减轻控制抖振的影响。通过Lyapunov稳定性分析,保证了系统的全局鲁棒性。最后,对一个双连杆机械臂进行仿真,结果表明所提出的自适应滑模方法能够获得理想的轨迹跟踪性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive trajectory tracking control of robotic manipulators based on integral sliding mode

This paper proposes an adaptive control scheme with finite-time convergent property based on integral sliding mode to achieve trajectory tracking control of rigid robotic manipulators. The novel adaptive gain can be adjusted automatically with the system disturbance, as long as the disturbance and its derivative are bounded without requiring more information. Therefore, the control chattering effect can be mitigated obviously. The global robustness of system is guaranteed by Lyapunov stability analysis. Finally, the simulation of a two-link manipulator is given to show that the desired trajectory tracking performance is obtained with the proposed adaptive sliding mode approach.

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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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