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題 名 | Fuzzy Controller Design for Discrete-Time Nonlinear Systems via Model Predictive Control=離散非線性系統之模糊模型預測控制 |
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作 者 | 劉建宏; | 書刊名 | 中華技術學院學報 |
卷 期 | 36 2007.06[民96.06] |
頁 次 | 頁273-287 |
分類號 | 449.942 |
關鍵詞 | 模型預測控制; 線性矩陣不等式; 平行分佈補償; 卡車拖車系統; Model prediction control; Linear matrix inequality; Parallel distributed compensation; Truck-trailer system; |
語 文 | 英文(English) |
中文摘要 | 本論文是結合高木與菅野(T-S)模糊模型,與模型預測控制(MPC)策略,來處理離散非線性系統之穩定性問題。首先利用T-S模糊模型將非線性系統模型化。其次,利用模型預測控制法則與平行分佈補償(PDC)技術,設計模糊狀態回授控制器,並以線性矩陣不等式(LMIs)導出李亞普諾函數指數穩定意義表示之充分條件。最後,以卡車拖車(truck-trailer)系統作為實驗平臺,進行電腦值模擬,證明所提出之混合模糊模型預測控制法有效,且可得到令人滿意的結果。 |
英文摘要 | In this paper, we combined the Takagi-Sugeno (T-S) fuzzy model with the model predictive control (MPC) strategy to deal with the stabilization problem of nonlinear systems. First, the discrete-time T-S fuzzy model was adopted for modeling the nonlinear systems. Second, fuzzy state feedback controllers were proposed which was based on the model predictive control approach and a parallel distributed compensation (PDC) scheme. Sufficient conditions were derived for stabilization in the sense of Lyapunov exponential stability, and formulated in linear matrix inequalities (LMIs). Finally, a truck-trailer system, which is nonlinear and unstable, was applied for test. The effectiveness of the proposed mixed fuzzy model predictive controller design was demonstrated with satisfactory numerical simulation results. |
本系統中英文摘要資訊取自各篇刊載內容。