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A robust optimal trajectory tracking control for systems with an input delay

机译:具有输入延迟的系统的鲁棒最优轨迹跟踪控制

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This paper proposes a robust controller for the optimal trajectory tracking problem of linear systems with an input delay and subjected to an external disturbance. We introduce a new integral transformation to convert the original error system with time delay into a delay-free one, and observe a key but simple relationship between the original state variables and the new state variables. We design the robust controller in two parts: one is a delayed optimal trajectory tracking controller used for implementing the control task, and the other is a disturbance observer used for compensating the external disturbance. Due to the delay effect, the current state in the controller is replaced with a predictor state. For demonstration, a robust controller to control the Back-and-Forth motion of an inverted pendulum on a cart is designed, where the pitch angle of the inverted pendulum is forced to be small by choosing a large weight of the pitch angle error in the quadratic performance criterion. Simulation results show that the proposed controller not only implements the control task well but also has a strong robustness against the disturbance. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:针对具有输入延迟并受到外部干扰的线性系统的最优轨迹跟踪问题,本文提出了一种鲁棒控制器。我们引入了一种新的积分变换,将具有时间延迟的原始误差系统转换为无延迟的系统,并观察原始状态变量与新状态变量之间的关键但简单的关系。我们将鲁棒控制器设计为两部分:一个是用于执行控制任务的延迟最优轨迹跟踪控制器,另一个是用于补偿外部干扰的干扰观测器。由于延迟效应,控制器中的当前状态将被预测器状态替代。为了进行演示,设计了一种鲁棒的控制器来控制小车上倒立摆的来回运动,其中通过在倒立摆中选择较大的摆角误差权重来迫使倒立摆的俯仰角变小。二次性能标准。仿真结果表明,所提出的控制器不仅可以很好地完成控制任务,而且对干扰具有很强的鲁棒性。 (C)2016富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2016年第12期|2627-2649|共23页
  • 作者

    Zhou Yusheng; Wang Zaihua;

  • 作者单位

    Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Mech Struct, Nanjing 210016, Jiangsu, Peoples R China;

    Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Mech Struct, Nanjing 210016, Jiangsu, Peoples R China;

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  • 入库时间 2022-08-18 02:57:47

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