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THE ROBUST TRACKING CONTROL OF NONLINEAR SYSTEMS WITH UNCERTAIN DYNAMICS.

机译:具有不确定动力学的非线性系统的鲁棒跟踪控制。

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摘要

A robust tracking control algorithm based mainly on the theory of variable structure systems and Lyapunov's direct method is developed in this dissertation to treat tracking control problem of nonlinear time-varying system with uncertain dynamics. A nominal model instead of an exact one is used, together with a description of the bounds of plant uncertainty, and the objective is to design a control law that will drive all plants lying within the specified band of uncertainty to reach the goal. The modeling error, time-varying system dynamics, and disturbances are all treated as system uncertainties. This algorithm will much ease the difficulties in the need of precise model of physical system for the control purpose and handle nonlinear time-varying system with uncertainties.; The nonlinear time-varying system is first linearized to a linear time-varying system, with time-varying coefficients completely defined, via the method of variable structure systems. Then control method is switched to the Lyapunov's direct method to complete the tracking of the nonlinear time-varying system and eliminate the control chattering problem caused by the method of variable structure systems.; The tracking control of a simple two-link manipulator system is used as an example for the application of this robust tracking control algorithm.
机译:本文提出了一种主要基于变结构系统理论和李雅普诺夫直接法的鲁棒跟踪控制算法,以解决非线性时变系统的动力学不确定的跟踪控制问题。使用名义模型代替精确模型,并描述了植物不确定性的范围,目的是设计一种控制律,以驱动位于不确定性指定范围内的所有植物达到目标。建模误差,时变系统动力学和干扰都被视为系统不确定性。该算法将大大缓解为控制目的而需要精确的物理系统模型的困难,并处理具有不确定性的非线性时变系统。首先通过可变结构系统的方法将非线性时变系统线性化为线性时变系统,并完全定义了时变系数。然后将控制方法切换为李雅普诺夫直接法,完成对非线性时变系统的跟踪,消除了变结构系统方法引起的控制颤振问题。一个简单的两连杆机械手系统的跟踪控制以该鲁棒跟踪控制算法的应用为例。

著录项

  • 作者

    WANG, DAUCHUNG.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 1987
  • 页码 165 p.
  • 总页数 165
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

  • 入库时间 2022-08-17 11:51:01

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