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Disturbance observer-based fixed-time prescribed performance tracking control for robotic manipulator

Yu Zhang, Changchun Hua, Kuo Li

发表年份
2019
引用次数
50

摘要

This paper investigates the fixed-time prescribed performance tracking control for the n-DOF uncertain manipulator. First, a novel Barrier Lyapunov Function (BLF) is proposed to guarantee the prescribed performance for the manipulator tracking error. Then, we introduce a disturbance observer to estimate the system uncertainty and disturbance accurately in a predefined time. Next, a composite controller based on the nonsingular fast integral terminal sliding mode is constructed. It is strictly proved that the closed-loop system is stable in fixed-time, which is independent of the initial conditions. Moreover, both transient and steady-state performances of the outputs can be preserved. Finally, numerical simulations and experimental studies are presented to demonstrate the effectiveness of the proposed methods.

关键词

Control theory (sociology)Lyapunov functionObserver (physics)Controller (irrigation)Tracking (education)Tracking errorComputer scienceState observerDisturbance (geology)Mathematics

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