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Observer-based Trajectory Tracking for a Class of Underactuated Lagrangian Systems Using Higher-order Sliding Modes

机译:基于观察者的轨迹跟踪,用于一类使用高级滑动模式的一类底层拉格朗日系统

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Trajectory tracking control of an underactuated mechanical system is a challenging task when tracking errors of all the system coordinates need to be minimized, while the number of control inputs is limited. This paper addresses the observer-based multivariable control of a class of nonlinear, underactuated Lagrangian systems with application to trajectory tracking and sway control of a 3D overhead gantry crane subject to Coulomb friction. A second-order sliding mode observer is proposed for the estimation of velocities. Based on robust estimates, the sliding function of a second-order sliding mode controller for trajectory tracking and anti-swing control is proposed. The simulation results indicate that the proposed observer-based controller can achieve high performance in following a pre-specified trajectory with minimum tracking errors and swing angle suppression, despite the presence of model uncertainties and disturbances.
机译:当需要最小化系统坐标的跟踪误差时,丢失机械系统的轨迹跟踪控制是一个具有挑战性的任务,而控制输入的数量有限。本文介绍了一类非线性的非线性控制的多变量控制,其应用于轨迹跟踪和摇摆控制受库仑摩擦的3D架空龙门起重机的摇摆控制。提出了一种用于估计速度的二阶滑动模式观察者。基于鲁棒估计,提出了用于轨迹跟踪和防摇控控制的二阶滑动模式控制器的滑动功能。仿真结果表明,尽管存在模型不确定性和干扰,所提出的基于观察者的控制器可以在以下预先指定的轨迹中实现高性能,并且在最小的跟踪误差和摆动角度抑制。

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