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A Predefined-Time Nonsingular Terminal Sliding Mode Control for Multispace Transport Robot System With Varying Power Reaching Law

Ran Tao, Yibo Ding, Xiaokui Yue, Nanxi Wu

发表年份
2024
引用次数
14

摘要

This article proposes a predefined-time nonsingular terminal sliding mode controller (PNTSMC) for multispace transport robot system, which is suitable for complex on-orbit assembly tasks. First, a composite Lyapunov function predefined-time stability criterion (CLF-PSC) is proposed to simplify the stability analysis and controller design. Comparing with traditional predefined-time stability criterion, the CLF-PSC offers a simpler form. More importantly, combining with chain rule of the composite Lyapunov function, the CLF-PSC can be composed and decomposed flexibly, which makes it more convenient for application. Second, a unified framework for nonsingular terminal sliding mode surfaces is proposed. By integrating the CLF-PSC with the framework, a general method for predefined-time nonsingular terminal sliding mode surface (PNTSMF) design is presented, which can effectively avoid the singularity problem without violating strict predefined-time stability. In addition, two PNTSMFs are proposed as specific examples. In addition, a predefined-time reaching law with varying power is designed based on the CLF-PSC. Due to that the power can change with the sliding variable, the reaching law can weaken chattering, reduce control input, and strictly guarantee predefined-time convergence. Third, combining the PNTSMF with the reaching law, a predefined-time disturbance observer and a distributed cooperative PNTSMC are designed for the system, which exhibit excellent performance of predefined-time convergence, high precision, chattering suppression, and robustness against disturbances. Finally, simulations are provided to verify the performance of the proposed PNTSMF and PNTSMC.

关键词

Control theory (sociology)Sliding mode controlTerminal (telecommunication)Mode (computer interface)Terminal sliding modeRobotPower (physics)Mobile robotComputer scienceControl (management)

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