臺灣博碩士論文加值系統

本論文主要針對以分散式自適應法則控制之大尺度資料採樣系統，提出數位再設計控制器。研究對象由數組子系統組成，各子系統之特徵未知，且彼此間存在相互作用，但一子系統之控制器無法取得其他子系統之資訊，此一限制形成本研究之先天條件。經由模型參考的導入，分散式自適應控制可利用參考模型提供之資訊，使受控系統漸近式追蹤參考模型，達到零誤差的境地。該架構之本質，讓控制系統之設計可拆分為兩部分，一是使系統完美地追蹤參考模型，一是使模型狀態緊隨參考訊號。而數位再設計，將可分別針對此二部分進行設計。利用脈幅調變及脈寬調變法則，可設計出與類比控制等效之控制器，簡化控制設計之複雜度，並可降低控制器設計及實作之成本。在本論文中將舉列證明，經數位再設計之控制器，使受控系統呈現出的追蹤軌跡，可近似類比控制下之表現。

A novel model-reference-based decentralized adaptive controller is proposed for a continuous-time large scale multivariable system consisting of N interconnected linear subsystem with unknown parameters. The adaptation of the analog controller gain is derived by using model reference adaptive control theory based on Lyapunov's method. In this paper, it is shown that in the sampled-data decentralized adaptive control systems, it is theoretically possible to asymptotically track desired outputs with zero error. It is assumed that all the controllers share their prior information and the principal result is derived assuming that they cooperate implicitly. The optimal digital redesign of PAM and PWM controllers for sampled-data decentralized adaptive control systems is newly proposed. The prediction-based digital redesign methodology is utilized to find the new pulse-amplitude-modulated (PAM) and pulse-width-modulated (PWM) digital controllers for effective digital control of the analog plant. An illustrative example of MIMO interconnected linear system is presented to demonstrate the effectiveness of the proposed design methodology.

中文摘要 I
Abstract II
Contents III
List of Figures IV
Chapter 1. Introduction………………………………………………………………1-1
Chapter 2. The Decentralized Adaptive Control Design
2.1 The Decentralized Adaptive Control Problem...…………………………..2-1
2.2 The Model-Reference-Based Decentralized Adaptive Controller.………2-5
Chapter 3. The Digital Redesign of the Decentralized Adaptive Control System
3.1 The Digital Redesign Methodology.……………………………………..3-1
3.2 A Novel Digitally Redesigned Model-Reference-Based Decentralized
Adaptive Controller………………………………………………………..3-4
3.3 The MRDAC control with Optimal Tracker.…………………………….3-10
Chapter 4. An Illustrative Example….……………………………………………...4-1
Chapter 5. Conclusions……………………………………………………………...5-1
References
Acknowledgements

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