具有狀態時間延遲和截止區輸入的不確定非線性系統之參考模型適應模糊控制

MODEL REFERENCE ADAPTIVE FUZZY CONTROL OF UNCERTAIN NONLINEAR SYSTEMS WITH STATE TIME-DELAY AND DEAD-ZONE INPUT

張柏翔(Po-Hsiang Chang)

指導教授 ： 江江盛

大同大學/電機資訊學院/電機工程學系所/碩士(2012年)

摘要

在本篇論文中，參考模型適應模糊控制方法被提出用於針對某些具有狀態時間延遲和截止區輸入的不確定非線性系統。本篇論文中的方法，模糊邏輯系統是被利用去估計動態系統中不確定性的未知上界。同時，藉由利用一些適應法則去補償未知參數，本論文設計一個適合的且簡單的非記憶的適應模糊控制器。藉由利用一個李亞普諾夫克拉索夫斯基函數，這個被提出的參考模型適應模糊控制不只會保證不確定非線性狀態時間延遲系統穩定，也會獲得好的追蹤性能。最後，模擬被提出且模擬結果顯示了所提出控制器的有效性。

關鍵字

不確定性 ； 狀態時間延遲 ； 非線性系統 ； 截止區輸入 ； 參考模型控制 ； 適應模糊

並列摘要

In this thesis, the model reference adaptive fuzzy control strategy is presented for a class of uncertain nonlinear systems with state time-delay and dead-zone input. Within this scheme, fuzzy systems are used to estimate unknown uncertainties upper bounds of the dynamic system. By means of some adaptive laws to compensate the unknown parameters, a feasible and simple memoryless adaptive fuzzy controller is developed. By employing a Lyapunov-Krasovskii functional, the proposed controller not only guarantees the stability of the uncertain nonlinear state time-delay systems, but also obtains good tracking performance. Finally, a series of simulation results are provided to show the effectiveness of the proposed controller.

並列關鍵字

dead-zone input ； model reference control ； adaptive fuzzy ； state time-delay ； uncertain ； nonlinear systems

參考文獻

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