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Model reference robust control for MIMO systems.

机译:MIMO系统的模型参考鲁棒控制。

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摘要

In this dissertation, Model Reference Robust Control (MRRC) is being extended to Multiple Input-Multiple Output (MIMO) systems. Considered in this dissertation are MIMO systems which are partially linear with a nonlinear part that is assumed to be a disturbance bounded by a known continuous function. The nominal linear MIMO plant is uncertain in that one does not have absolute certainty of plant parameter values. The aim of the thesis is to develop nonlinear robust controls for MIMO uncertain nominal plants, controls that compensate for plant uncertainties and nonlinear disturbances while achieving model following and stability.; It is shown in this dissertation that MRRC of MIMO systems is an extension of model reference control (MRC) of MIMO systems and MRRC of Single Input-Single Output (SISO) systems. The extension is complicated due to the fact the one is dealing with matrix systems. An additional complication is the fact that the back-stepping procedure used in non Strictly Positive Real (SPR) SISO systems cannot be directly applied to MIMO non SPR systems.; Unwanted coupling exists in many physical MIMO systems. It is shown that MRRC decouples MIMO systems using only input and output measurements rather than state feedback techniques. Using input and output information for control is a very desirable property, since in many instances state information is not available or state measurements are corrupted by noise.; MRC of systems where one has perfect knowledge is reviewed. Assumptions are listed for the application of MRRC for MIMO systems. Reference model selection is presented as the right Hermite normal form of the plant transfer function matrix. MRRC is derived for strictly positive real (SPR) MIMO systems, and systems which are not SPR. Robust control laws are presented and are verified using stability proofs based on Lyapunov's second method.; It is shown in this dissertation that SPR MIMO plants considered herein plus nonlinear robust controller achieves asymptotic stability and that non SPR plants achieves uniform ultimate boundedness.; Examples are presented of MIMO plants with significant nonlinear disturbances to illustrate the effectiveness of the nonlinear robust control laws. Two physical systems are presented which show the control's practical application. Discussions on extensions to MIMO plants with multiplicative unmodeled dynamics are presented and future research is discussed.
机译:本文将模型参考鲁棒控制(MRRC)扩展到多输入多输出(MIMO)系统。本文考虑的是MIMO系统,该系统与被认为是由已知连续函数界定的干扰的非线性部分部分线性。标称线性MIMO设备不确定,因为它不具有设备参数值的绝对确定性。本文的目的是为MIMO不确定标称设备开发非线性鲁棒控制,在实现模型跟随和稳定性的同时,补偿设备不确定性和非线性干扰的控制。论文表明,MIMO系统的MRRC是MIMO系统的模型参考控制(MRC)和单输入单输出(SISO)系统的MRRC的扩展。由于这一事实与矩阵系统有关,因此扩展很复杂。另一个复杂的事实是,在非严格正实(SPR)SISO系统中使用的后推过程不能直接应用于MIMO非SPR系统。在许多物理MIMO系统中存在不必要的耦合。结果表明,MRRC仅使用输入和输出测量值而不使用状态反馈技术来解耦MIMO系统。使用输入和输出信息进行控制是非常理想的属性,因为在许多情况下,状态信息不可用或状态测量值被噪声破坏。审查了具有完善知识的系统的MRC。列出了MRRC在MIMO系统中的应用假设。参考模型的选择是植物传递函数矩阵的正确Hermite范式。 MRRC是针对严格正实数(SPR)MIMO系统以及非SPR的系统得出的。提出了鲁棒控制律,并使用基于Lyapunov第二种方法的稳定性证明进行了验证。本论文表明,本文考虑的SPR MIMO设备加上非线性鲁棒控制器实现了渐近稳定性,非SPR设备实现了统一的最终有界性。给出了具有严重非线性干扰的MIMO设备的示例,以说明非线性鲁棒控制定律的有效性。提出了两个物理系统,它们显示了控件的实际应用。提出了对具有乘法未建模动态的MIMO植物扩展的讨论,并讨论了未来的研究。

著录项

  • 作者

    Ambrose, Hollis Hedges.;

  • 作者单位

    University of Central Florida.;

  • 授予单位 University of Central Florida.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 192 p.
  • 总页数 192
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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