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Noncollocated control of infinite-dimensional systems using an H-infinity mixed-sensitivity optimization.

机译:使用H无限混合灵敏度优化对无限维系统进行非共置控制。

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This dissertation will present two complete design methodologies for controlling stable, distributed parameter systems. Both methodologies do not require the usual truncation of the infinite-dimensional plant at the onset of the design process. The first, is applicable to minimum phase plants, and the other is for nonminimum phase systems. These methodologies have been used for the mixed-sensitivity design of a cantilever beam subject to low-requency, distributed disturbances. The Euler-Bernoulli model containing both viscous and structural damping was used to represent the plant in this research.; By comparing the closed-loop performance of the beam with the sensor and actuator nearly collocated with that of the collocated system, a comparison of the two methodologies was made. In addition, this thesis explores the differences between these two types of plants and the issues that must be considered when controlling these systems.; Despite the fact that the methodologies presented herein are based on frequency-domain H theory, they are relatively simple to use. One methodology is so simple that the optimal controller is found by substituting the design requirements into a single equation. The optimum controller, sensitivity, and complimentary-sensitivity functions for the closed-loop system are derived analytically as a function of the design requirements and system parameters.; Much of the work in this thesis is a synthesis of and expansions to many different areas of research including skew Toeplitz theory, generalized PDE solution techniques, Mittag-Leffler product expansions, and classical H mixed-sensitivity design. Significant contributions include the most pragmatic demonstration of skew Toeplitz theory to date, the introduction of relaxed skew Toeplitz (RST) controllers, and innovative simulation techniques used to verify the control designs. Furthermore, a novel set of weighting functions were presented that not only reduce the mixed-sensitivity H optimization down to a 1-block problem, but are also far superior to weights used in other sources. They provide an elegant mechanism for shaping the sensitivity and complimentary-sensitivity responses of the closed-loop system.
机译:本文将介绍两种用于控制稳定的分布式参数系统的完整设计方法。两种方法都不需要在设计过程开始时就对无穷大工厂进行通常的截断。第一种适用于最小相系统,第二种适用于非最小相系统。这些方法已用于悬臂梁的低灵敏度,分布式干扰的混合灵敏度设计。包含粘性和结构阻尼的Euler-Bernoulli模型被用来代表该研究中的植物。通过比较光束的闭环性能,与并置系统几乎并置的传感器和执行器,对两种方法进行了比较。此外,本文探讨了这两种类型的电厂之间的区别以及控制这些系统时必须考虑的问题。尽管本文介绍的方法基于频域H 理论,但它们使用起来相对简单。一种方法是如此简单,以至于可以通过将设计要求代入一个方程来找到最佳控制器。闭环系统的最佳控制器,灵敏度和互补灵敏度函数是根据设计要求和系统参数得出的分析结果。本文的大部分工作是对许多不同研究领域的综合和扩展,包括偏斜Toeplitz理论,广义PDE解法,Mittag-Leffler产品扩展以及经典的H 混合灵敏度设计。 。重要的贡献包括迄今为止最实用的偏斜Toeplitz理论证明,宽松的偏斜Toeplitz(RST)控制器的引入以及用于验证控制设计的创新仿真技术。此外,提出了一套新颖的加权函数,它不仅将混合灵敏度H 优化降低到1块问题,而且还远远优于其他来源中使用的加权。它们为塑造闭环系统的灵敏度和互补灵敏度响应提供了一种优雅的机制。

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