臺灣博碩士論文加值系統

本文提出「適應性模糊滑動控制器」的設計方法，利用模糊邏輯的觀念改善傳統滑動控制訊號切跳的問題；同時利用滑動模式的方法來有效地減少模糊規則的數目；並且利用李雅普諾夫函數推導出其參數之適應性調整法則，因此其閉迴路之系統穩定性亦可得証。
在本文中提出兩種適應性智慧型解耦合模糊滑動控制器設計，包括「階層式模糊滑動控制器」以及「適應性解耦合模糊滑動控制器」並將其運用到氣彈力控制系統、天車系統以及移動震盪旋轉激發器(TORA)等單輸入多輸出非線性系統上。
模擬驗證結果顯示所設計之控制器可以有效地解決單輸入多輸出系統中的耦合現象並改善其控制性能，此外也具備了穩定性與強健性之特色。

The design methods of the adaptive fuzzy sliding-mode controller are proposed in this thesis. The fuzzy logic method is applied to reduce the chattering control signal in conventional sliding-mode controller and the number of the fuzzy membership function. Also, we derive the adaptive laws and use the Lyapunov function to guarantee the stability of the closeed loop.
The proposed hierarchical fuzzy sliding-mode controller and adaptive fuzzy sliding-mode controller are applied to three practical systems; the aeroelastic systems, the overhead crane systems and the translational oscillator with rotational actuator (TORA) systems which are all single-input-multi-output (SIMO) nonlinear systems.
Simulation results show that the coupling effect of the SIMO system has been solved. Besides, it demonstrates that the system performance is improved sufficiently and stability and robustness properties are also possessed.

Chapter 1 Introduction
Chapter 2 Preliminary
Chapter 3 Hierarchical Fuzzy Sliding-Mode Control Design
Chapter 4 Adaptive Fuzzy Sliding-Mode Control Design
Chapter 5 Conclusions and Suggestions for Future Research

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