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Adaptive fast terminal sliding mode trajectory tracking control of Mecanum-wheeled omnidirectional mobile robots using barrier function

Long Chen, Zeyuan Lu, Bin Yan, Peipei Jin, Guangyi Wang

Year
2025
Citations
2

Abstract

This paper presents a barrier function-based adaptive nonsingular fast terminal sliding mode control (BFANFTSMC) algorithm for the trajectory tracking of a Mecanum-wheeled omnidirectional mobile robot (MWOMR). A four-inputs-three-outputs kinematic-and-dynamic model of the MWOMR is constructed with considerations of parameter uncertainties and unknow external disturbances. To achieve a stable and robust performance, a BFANFTSMC scheme is designed for the MWOMR, while a modified barrier function (MBF) is further proposed with particular consideration of actuator saturation. Stability and robustness of the proposed control methods are analyzed using the Lyapunov theory. Also, real-time experimental results on a MWOMR platform show superior performance on tracking precision and control robustness compared with three existing control schemes.

Keywords

Mobile robotTrajectoryTerminal (telecommunication)Tracking (education)Control theory (sociology)Computer scienceOmnidirectional antennaRobotMode (computer interface)Function (biology)

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