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Adaptive-Siding-Mode Disturbance-Observer-Based Control for Mobile Wheeled Robot System

Jinpeng Chen, Fangzheng Xue, Xiaojie Su, Song Wang

Year
2023
Citations
1

Abstract

The disturbance and physical parameter uncertainties of mobile wheeled robot(MWR) system are an important research topic during the trajectory tracking task. An adaptive siding mode disturbance observer (ASMDO) for the MWR system trajectory tracking task is proposed in this paper. Based on this ASMDO, a matching silding mode control is designed. The The convergence of ASMDO is proved and the stability and accuracy of the designed silding mode control is achieved our control task goal. Finally, the effectiveness of proposed methods are varified by numerical simulations.

Keywords

Control theory (sociology)Mobile robotTrajectoryComputer scienceConvergence (economics)Task (project management)Mode (computer interface)Disturbance (geology)Stability (learning theory)Control engineering

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