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Motion Control and Trajectory Tracking Control for a Mobile Robot Via Disturbance Observer

机译:通过干扰观测器对移动机器人进行运动控制和轨迹跟踪控制

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This paper investigates the tracking control of a wheeled mobile robot in the unknown environment. A disturbance observer is developed with utilization the integral filter. The proposed control scheme employs the disturbance observer control approach to design an auxiliary wheel velocity controller to make the tracking errors, which includes the velocity tracking error, the angular velocity tracking and the trajectory tracking error vector, as small as possible in consideration of unknown bounded disturbance in the kinematics of the mobile robot, and makes use of the disturbance controller to reject the unknown bounded disturbance. The approximation errors and the unknown bounded disturbance can be efficiently rejected by employing the integral filter. A major advantage of the proposed methods is that the position (or velocity/angular velocity) and the desired trajectory (or velocity/angular velocity) are no longer necessary. This is because the observer controller "tracking" both the mobile kinematics and the unknown bounded disturbance. Most importantly, all signals in the closed-loop system can be assured to be uniformly ultimately bounded. The system stability and convergence of the motion control and the trajectory tracking errors are proved using the Lyapunov stability theory. Simulation results are provided to verify the proposed control strategy. It is shown that the control strategy is feasible.
机译:本文研究了未知环境中轮式移动机器人的跟踪控制。利用积分滤波器开发了干扰观测器。所提出的控制方案采用扰动观测器控制方法来设计辅助车轮速度控制器,以使跟踪误差(包括速度跟踪误差,角速度跟踪和轨迹跟踪误差向量)在考虑未知边界的情况下尽可能小机器人运动学中的干扰,并利用干扰控制器拒绝未知的有界干扰。通过使用积分滤波器,可以有效地消除近似误差和未知的有界干扰。所提出的方法的主要优点是不再需要位置(或速度/角速度)和期望的轨迹(或速度/角速度)。这是因为观察者控制器“跟踪”了运动学运动和未知的有界干扰。最重要的是,可以确保闭环系统中的所有信号最终均匀一致。利用李雅普诺夫稳定性理论证明了运动控制系统的稳定性,收敛性以及轨迹跟踪误差。提供仿真结果以验证所提出的控制策略。结果表明,该控制策略是可行的。

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