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  • 學位論文

線上調整模糊控制器設計

On-line Tuning Fuzzy Controller Design

指導教授 : 涂世雄 賴玲瑩
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摘要


摘 要 傳統的PI控制器能夠有效的改善系統的穩態響應,因此常被廣泛的應用,然而它常會有暫態響應不夠理想的缺點。基於PI控制器的優勢,本文提出當PI控制器作為系統的主控制器時,可輔以線上調整型模糊控制器作為副控制器,來改善PI控制器的暫態響應,以期得到更佳的控制效果。 在過去,一般模糊控制器的模糊規則庫大多使用專家經驗或試誤法來建立,不僅費時,且用於不同的受控體時亦需要重新設計,以至於未能廣泛應用於工業界。因此,本文先選用適當的性能指標,並以「簡易型梯度法」(simplified gradient method)來決定修正的方向,以此對所觸發規則進行整數值的調整,達到使性能指標值遞減的目的。此一「簡易型梯度法」針對不同的受控系統可調整出適當的模糊規則庫,亦能達到不錯的控制效果。 本文最後以電腦模擬來比較PI控制器的響應以及加入模糊控制器後的響應結果。模擬結果顯示,加入模糊控制器後系統響應的安定時間和最大超越量都有明顯的改善。

並列摘要


Abstract Conventional PI controllers were often in widespread use owing to their capability of efficiently improvement of steady-state responses of systems; however, transient responses are often their defect. Based on the advantages of PI controllers, the thesis proposed that in the case that a PI controller is served as a host controller, a on-line tuning fuzzy controller can be used as a servant controller to improve the transient response to get better performance of the whole system. In the past, the rule base of a fuzzy controller was mostly created by professional experience or trial-and-error. This was not only wasting a lot of time but also requiring redesign for different plants so that the fuzzy controller is not wide used in industry. Therefore, in the present study, an appropriate performance index was chosen first. Then a “Simplified Gradient Method” was used to decide integral correction of the active rules to get decreasing values of the performance index. The Simplified Gradient Method can properly tune the rule bases of the fuzzy controller for different control systems, and the system performances are improved effectively. At last, by computer simulation, we compared the responses of several systems controlled by PI controller along with those accompined by on-line tuning fuzzy controller. The simulation results reveal that the on-line tunung fuzzy controller can distinctly improve (decrease) both the rise time and maximum overshoot.

並列關鍵字

On-line Tuning Fuzzy Controller

參考文獻


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