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題 名 | Fuzzy Model-Based Controller Design for Nonlinear Systems=模糊模型為依據之控制器設計在非線性系統之應用 |
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作 者 | 龔宗鈞; 李輝煌; | 書刊名 | 大同學報 |
卷 期 | 26 1996.11[民85.11] |
頁 次 | 頁123-129+411 |
分類號 | 448.942 |
關鍵詞 | 模糊控制器; 非線性系統; |
語 文 | 英文(English) |
中文摘要 | 模糊控制器已成功地應用於許多傳統控制方法難以引用的例子,且近來已有文獻證明模糊系統能任意精確地逼近任何連續函數。這成果引發我們利用模糊系統模型逼近非線性系統,並且根據此模糊系統模型設計控制器。因此本論文有兩個主要目的如下:給一非線性系統 (1)利用Takagi-Sugeno之模糊系統為非線性系統的辨證器,且推出一辨證程序。 (2)根據此模糊系統模型,提出一模糊控制器以控制此非線性系統。 模擬結果顯示出此辨證方法及控制器可應用SISO及MIMO系統並獲致良好效果。 |
英文摘要 | Fuzzy controllers have been successfully applied in many cases to which conventional control algorithms are difficult to be applied. Recently, it was proven that fuzzy systems are capable of approximating any real continuous function to arbitrary accuracy. This result motivates us to use the fuzzy systems as identifiers for nonlinear dynamic systems, and then design the fuzzy controllers based on the fuzzy system. There are two main objectives in this paper. (1) We use the Takagi and Sugeno's fuzzy models as an identifier for nonlinear dynamic systems, and derive the identification algorithm. (2) The fuzzy model-based controller design method for tracking control is proposed based on this fuzzy system. Simulation results show that the identification algorithm exhibits good performance and the fuzzy model-based controllers could perform successful tracking ability. |
本系統中英文摘要資訊取自各篇刊載內容。