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Robust tracking control for Robotic Manipulators based on Super-twisting Algorithm

Muhammad Umer Javed, Haitao Liu, Jianhao Nie, Jian Sun

发表年份
2019
引用次数
3
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摘要

Robotic manipulators are broadly used in industries for different kinds of specialized operational responsibilities and it is very complicated to design of a robust and stable controller for these systems. The performance of industrial robotic manipulators has augmented concerning stability and safety due to growths in robust controller design. However, designing a stable and reliable control method for a robot manipulator is important for real-world applications. This paper proposed a robust composite super-twisting sliding mode controller (STSMC) for robotic manipulators with uncertainties. To improve the robustness of robotic manipulators and reduce the chattering problem of sliding mode control, the Super-twisting algorithm is employed to design a continuous controller, and the stability is proved. Simulations on the 2-DOF robotic manipulator are shown to illustrate the effectiveness of the proposed method in which demonstrated that the proposed model has smoothness at 10−5.

关键词

Robot manipulatorRobustness (evolution)Control theory (sociology)Control engineeringRobust controlComputer scienceStability (learning theory)RobotSliding mode controlController (irrigation)

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