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Motion Control for Caterpillar Vehicles Using a MIMO Robust Servo Controller

机译:使用MIMO鲁棒伺服控制器的履带车辆运动控制

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This paper proposes a MIMO robust servo controller design for Mobile Robots as Caterpillar Vehicles with an external disturbance to track desired linear displacement and orientation references using a linear shift invariant differential (LSID) operator. To do this tasks, the followings are done. Firstly, MIMO modeling of the Caterpillar Vehicle is presented. Secondly, by operating the LSID operator to the state space model and the output error vector, a new extended system and a new control law are obtained. Thirdly, a proposed MIMO robust servo controller for the given the Caterpillar Vehicle is designed by using the pole assignment approach. Fourthly, by applying the inverse LSID operator, a servo compensator and a control law for the MIMO system are obtained. Finally, in order to verify the effectiveness of the proposed MIMO robust servo controller, the simulation results are shown. The simulation results show the good tracking performance of the proposed MIMO robust servo controller under as a step type of external disturbance and step types of linear displacement and angular reference signals. This simulation results of the proposed MIMO robust servo controller are compared with the adaptive backstepping control method proposed by P.S. Pratama in 2013. The proposed MIMO robust servo controller shows the faster and better tracking performance than the that adaptive backstepping control method.
机译:本文提出了一种用于卡特彼勒车辆的移动机器人的MIMO鲁棒伺服控制器设计,该控制器具有外部干扰,可使用线性位移不变微分(LSID)算符来跟踪所需的线性位移和方向参考。要执行此任务,请完成以下操作。首先,介绍了卡特彼勒车辆的MIMO建模。其次,通过对状态空间模型和输出误差向量进行LSID运算,得到新的扩展系统和新的控制律。第三,使用极点分配方法设计了给定的卡特彼勒车辆的MIMO鲁棒伺服控制器。第四,通过应用逆LSID运算符,可以获得MIMO系统的伺服补偿器和控制律。最后,为了验证所提出的MIMO鲁棒伺服控制器的有效性,给出了仿真结果。仿真结果表明,在外部干扰的阶跃类型以及线性位移和角度参考信号的阶跃类型下,所提出的MIMO鲁棒伺服控制器具有良好的跟踪性能。所提出的MIMO鲁棒伺服控制器的仿真结果与P.S提出的自适应反步控制方法进行了比较。 2013年Pratama。与自适应反步控制方法相比,拟议的MIMO鲁棒伺服控制器显示出更快,更好的跟踪性能。

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