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頁籤選單縮合
題 名 | Robust Adaptive Fuzzy Control for Nonlinear Systems with Non-Minimum Phase=應用於具有非最小相非線性系統之強健式適應模糊控制 |
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作 者 | 陳昭雄; 陳文良; | 書刊名 | 中國工程學刊 |
卷 期 | 20:6 1997.11[民86.11] |
頁 次 | 頁681-691 |
分類號 | 448.942 |
關鍵詞 | 強健適應控制; 非最小相系統; 模糊系統; Robust adaptive control; Non-minimum phase systems; Fuzzy systems; Feedback linearization; Sliding control; Lyapunov's stability theorem; |
語 文 | 英文(English) |
中文摘要 | 本文提出一種強健式適應模糊控制架構,用於解決具有非最小相非線性系統之穩定問題, 一般當直接運用迴授線性化技術於具有非最小相系統時,受控制系統之內部動態往往會不穩定,本 文僱用模糊系統以適應性的補償受控系統之非線性部分,且迫使系統輸出漸近的跟隨一預定之參考 模型輸出,此模型可以穩定系統之內部動態,當跟隨到後,系統輸出會收斂至原點,且系統之內部 動態同時被穩定,最後,本文並以一倒三角系統做實驗,以驗證所提方法之功效。 |
英文摘要 | This paper resents a robust adaptive fuzzy control scheme for the stabilization of nonlinear systems with non-minimum phase. Generally, while straightforward application of the feedback linearization technique to a non-minimum phase system results in a linear input-output response, the associated internal dynamics are unstable. The proposed scheme employs a fuzzy system to adapatively compensate for the plant nonlinearities and forces the plant output to asymptotically track the output of a prespecified reference model, which can stabilize the internal dynamics. When matching with the model occurs, the plant output will converge to the origin and the internal dynamics can be simultaneously stabilized. The stability and the tracking error asymptotically convergent to a predetermined boundary are established via Lyapunov's stability theoren. Experiments on an inverted wedge system are given to show the effectiveness of the proposed scheme. |
本系統中英文摘要資訊取自各篇刊載內容。