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Robust Tracking Control for Self-balancing Mobile Robots Using Disturbance Observer
  • 时间:0
  • 分类:TP242[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:College of Automation Engineering,Nanjing University of Aeronautics and Astronautics, IEEE
  • 相关基金:supported by the National Natural Science Foundation of China(61573184);the Specialized Research Fund for the Doctoral Program of Higher Education(20133218110013);the Six Talents Peak Project of Jainism Province(2012-XRAY-010);the Fundamental Research Funds for theCentral Universities(NE2016101)
作者: Mou Chen
中文摘要:

In this paper,a robust tracking control scheme based on nonlinear disturbance observer is developed for the self-balancing mobile robot with external unknown disturbances.A desired velocity control law is firstly designed using the Lyapunov analysis method and the arctan function.To improve the tracking control performance,a nonlinear disturbance observer is developed to estimate the unknown disturbance of the self-balancing mobile robot.Using the output of the designed disturbance observer,the robust tracking control scheme is presented employing the sliding mode method for the selfbalancing mobile robot.Numerical simulation results further demonstrate the effectiveness of the proposed robust tracking control scheme for the self-balancing mobile robot subject to external unknown disturbances.

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