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Fault Tolerant Control of Large Flexible Space Structures under Sensor and Actuator Failures.

机译:传感器和执行器故障下大型柔性空间结构的容错控制。

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摘要

In this thesis, we study fault tolerant control (FTC) for the decentralized robust servomechanism problem (DRSP) of a colocated large flexible space structure (LFSS) under sensor and actuator failures (SAF). The control objective is to devise a decentralized con- troller that maintains the stability of the LFSS, tracks a constant reference for healthy outputs, regulates against an unknown constant disturbance for healthy outputs, and is robust against parametric uncertainties, so that "spillover effects" do not occur. Two FTC frameworks are considered: An active FTC framework that assumes SAF are known, and a passive FTC framework for which SAF are unknown. The active FTC framework ex- tends existing work on DRSP of a nominal LFSS, and applies a PID controller that has fault-dependent adjustments. Necessary and sufficient conditions for a solution to exist are determined, notably an easy-to-test rank condition. For the passive FTC framework, a PD controller that stabilizes an LFSS under unknown SAF is found. Although perfect tracking and regulation are not attained under the PD controller, by applying high gains, the errors for healthy outputs can be reduced to any desired level. However, outputs with failed sensors and healthy actuators can reach undesirably high magnitude under high gains. To improve performance under low gains, insights on steady-state outputs are applied to develop a feed-forward control that has good performance in tracking, but not regulation. Further analysis on the PD controller reveals a method to diagnose SAF using steady-state outputs. As a result, the PD controller and PID controller are found to have complementary advantages, leading to an 3-stage integrated FTC procedure. First, the PD controller can stabilize the LFSS under unknown SAF (passive FTC). Next, fault diagnosis is performed while the LFSS is stabilized. Finally, a reconfigured PID con- troller applying diagnosed SAF enables healthy outputs to meet control objectives (active FTC). Three examples, including a benchmark space platform with 200 states obtained by finite-element analysis, are used to illustrate the results throughout this thesis.
机译:在本文中,我们研究了在传感器和执行器故障(SAF)下并置的大型柔性空间结构(LFSS)的分散鲁棒伺服机构问题(DRSP)的容错控制(FTC)。控制目标是设计一种分散的控制器,以保持LFSS的稳定性,跟踪健康输出的恒定参考值,针对健康输出的未知恒定扰动进行调节,并且对参数不确定性具有鲁棒性,从而实现“溢出效应”。不会发生。考虑了两个FTC框架:假定SAF的主动FTC框架已知,对于SAF未知的被动FTC框架。主动式FTC框架扩展了有关标称LFSS的DRSP的现有工作,并应用了具有故障相关调整的PID控制器。确定解决方案存在的必要条件和充分条件,尤其是易于测试的秩条件。对于无源FTC框架,找到了在未知SAF下稳定LFSS的PD控制器。尽管在PD控制器下无法实现完美的跟踪和调节,但通过施加高增益,可以将正常输出的误差降低到任何所需的水平。但是,传感器和故障执行器故障的输出在高增益下可能会达到不希望的高幅度。为了在低增益下提高性能,对稳态输出的洞察力可用于开发前馈控制,该控制在跟踪方面具有良好的性能,但在调节方面却没有。对PD控制器的进一步分析揭示了一种使用稳态输出诊断SAF的方法。结果,发现PD控制器和PID控制器具有互补的优势,从而实现了3级集成FTC程序。首先,PD控制器可以在未知SAF(被动FTC)下稳定LFSS。接下来,在LFSS稳定的同时执行故障诊断。最后,重新配置的PID控制器应用诊断出的SAF,可以使正常输出达到控制目标(主动FTC)。本文通过三个例子,包括通过有限元分析获得的具有200个状态的基准空间平台,来说明整个论文的结果。

著录项

  • 作者

    Huang, Samuel Tien-Chieh.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Engineering Computer.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 253 p.
  • 总页数 253
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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