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Global Robust Output Regulation for Nonlinear Output Feedback Systems and Its Applications.

机译:非线性输出反馈系统的全局鲁棒输出调节及其应用。

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The thesis is concerned with the global robust output regulation for nonlinear systems in the output feedback form by using output feedback control. For the nonlinear output feedback systems, we mainly study three typical output regulation problems. The first one is the output regulation problem with unknown control directions and input-to-state stable (ISS) inverse dynamics using a direct approach. The second one is the adaptive output regulation problem with an uncertain exosystem and ISS inverse dynamics. The third one is a case study on the solvability of the systems with integral input-to-state stable (iISS) inverse dynamics.;The nonlinear output regulation is a central control problem that involves nonlinear stabilization, tracking control and disturbance rejection as special cases. The control objective is to find a feedback controller to achieve asymptotic tracking and/or disturbance rejection while maintaining closed-loop stability. The output regulation study has experienced rapid developments in the past two decades or so. It is now well known that the problem can be systematically approached according to the general framework of tackling nonlinear output regulation that is composed of the following two steps. The first step is the problem conversion: from nonlinear output regulation to stabilization. The output regulation is generally more complicated than the stabilization problem. Therefore the problem conversion indeed reduces the complexity and makes it possible to be handled. In this step, the output regulation is converted into the stabilization of an augmented system consisting of the original plant and a suitable dynamic compensator called internal model. The second step is the stabilization of the augmented system whose solvability implies solvability of the output regulation problem.;In the past ten years or so, the output regulation of the strict output feedback systems has attracted a lot of attention. In contrast with the strict output feedback systems, the output feedback systems is more general since it not only involves the nonlinearity of the system output but also the unmodeled dynamics. Therefore, the usual design method is not applicable, which motivates us to develop some new methodology for the output regulation design of the output feedback systems.;The main results of the thesis are outlined as follows. i) A direct approach is proposed for the output regulation of the systems with ISS inverse dynamics and unknown control directions. The internal model is first designed for the control input. The output feedback control design is further achieved based on a type of partial state observer which is designed for the transformed augmented system. The Nussbaum function technique is successfully incorporated in the stabilization design to deal with the case of unknown control directions.;The result is applied to solve a tracking control problem associated with the well known Lorenz system and a class of generalized fourth-order Lorenz systems. By certain system decomposition, it is proved that the Lorenz system contains certain ISS inverse dynamics and the output feedback control is successfully realized.;ii) An adaptive output regulation design is proposed for the systems with ISS inverse dynamics and an uncertain exosystem. When the exosystem contains uncertain parameters, the direct approach can not be implemented any longer. To deal with this issue in the general case, by introducing an observer, we first derive an extended system composed of the plant and the observer. Then the output regulation problem of the extended system is solved. It is further shown that the unknown parameter vector of the exosystem can be exactly estimated if a controller containing a minimal internal model is employed.;The application of the result leads to the solution of several interesting control problems such as the global disturbance rejection of the FitzHugh-Nagumo (FHN) system and the robust output synchronization of the generalized third and fourth-order Lorenz system and the Harmonic system.;iii) A sufficient solvability condition of the global output regulation for the systems with iISS inverse dynamics is proposed. Since the concept of iISS is strictly weaker than the ISS one, the result allows us to handle a much larger class of nonlinear systems.;One of the motivations of the case study is to deal with the output regulation problem of a shunt-connected DC motor whose inverse dynamics is iISS but not ISS. As an illustration, a disturbance rejection problem of the shunt-connected DC motor is solved.
机译:本文涉及通过使用输出反馈控制以输出反馈形式对非线性系统进行全局鲁棒输出调节。对于非线性输出反馈系统,我们主要研究三个典型的输出调节问题。第一个是使用直接方法具有未知控制方向和输入状态稳定(ISS)逆动态的输出调节问题。第二个是具有不确定外系统和ISS逆动力学的自适应输出调节问题。第三个是对具有积分输入状态稳定(iISS)逆动力学的系统的可解性的案例研究。非线性输出调节是一个中心控制问题,涉及非线性稳定,跟踪控制和扰动抑制(特殊情况) 。控制目标是找到一种反馈控制器,以实现渐进跟踪和/或干扰抑制,同时保持闭环稳定性。在过去的二十多年中,输出调节研究经历了快速的发展。现在众所周知,可以根据解决非线性输出调节的一般框架来系统地解决该问题,该框架由以下两个步骤组成。第一步是问题转换:从非线性输出调节到稳定。通常,输出调节比稳定问题要复杂得多。因此,问题转换的确降低了复杂性并使其得以处理。在此步骤中,将输出调节转换为由原始设备和称为内部模型的合适动态补偿器组成的增强系统的稳定性。第二步是增强系统的稳定性,其可解性意味着输出调节问题的可解决性。在过去的十年左右的时间里,严格的输出反馈系统的输出调节引起了很多关注。与严格的输出反馈系统相比,输出反馈系统更为通用,因为它不仅涉及系统输出的非线性,而且还涉及未建模的动力学。因此,通常的设计方法是不适用的,这促使我们为输出反馈系统的输出调节设计开发一些新的方法。本文的主要工作概述如下。 i)针对具有ISS逆动力学和未知控制方向的系统的输出调节,提出了一种直接方法。首先为控制输入设计内部模型。基于针对转换后的增强系统设计的部分状态观察器,进一步实现了输出反馈控制设计。 Nussbaum函数技术已成功应用于稳定化设计中,以处理未知控制方向的情况。结果被用于解决与众所周知的Lorenz系统和一类广义四阶Lorenz系统相关的跟踪控制问题。通过一定的系统分解,证明了Lorenz系统具有一定的ISS逆动力学特性,并成功实现了输出反馈控制。ii)针对具有ISS逆动力学特性和不确定系统的系统,提出了一种自适应输出调节设计。当外部系统包含不确定的参数时,直接方法将无法再实现。为了在一般情况下解决此问题,通过引入观察者,我们首先导出由工厂和观察者组成的扩展系统。然后解决了扩展系统的输出调节问题。进一步表明,如果使用包含最小内部模型的控制器,则可以精确估计外系统的未知参数向量。;结果的应用导致解决了一些有趣的控制问题,例如全局干扰抑制。 FitzHugh-Nagumo(FHN)系统以及广义三阶和四阶Lorenz系统以及谐波系统的鲁棒输出同步。; iii)提出了具有iISS逆动力学系统的全局输出调节的充分可解性条件。由于iISS的概念比ISS的概念严格薄弱,因此结果使我们能够处理更大范围的非线性系统。;案例研究的动机之一是解决并联DC的输出调节问题逆动力学为iISS但不是ISS的电动机。作为示例,解决了并联直流电动机的干扰抑制问题。

著录项

  • 作者

    Xu, Dabo.;

  • 作者单位

    The Chinese University of Hong Kong (Hong Kong).;

  • 授予单位 The Chinese University of Hong Kong (Hong Kong).;
  • 学科 Engineering System Science.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 114 p.
  • 总页数 114
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:08

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