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研究生:張溢成
研究生(外文):I-Cheng Chang
論文名稱:主動式動態隔振系統最佳化設計
論文名稱(外文):Optimization Design of Active Vibration Isolation Systems
指導教授:郭信川郭信川引用關係
指導教授(外文):Hsin-Chuan Kuo
學位類別:碩士
校院名稱:國立臺灣海洋大學
系所名稱:系統工程暨造船學系
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:172
中文關鍵詞:田口法差分進化法隔振系統模糊控制器垃圾桶理論雙自由度動態系統
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本文首先提出一新穎的循序式田口方法,針對實驗設計的全域最佳化問題,使用數個標竿測試函數,其中包含有單極值與多極值的函數,以搜尋結果說明其在搜尋實驗設計全域最佳組配的性能高。然後以差分進化演算法 (Differential Evolution Algorithms) 為搜尋機制,採用社會科學公共政策-垃圾桶決策模式為邏輯架構,期使其在搜尋全域最佳解的能力提高。在單極值函數及多極值無限制的標竿函數問題,由測試結果顯示,此一以垃圾桶決策模式為架構的差分進化演算法比原始差分進化演算法對單極值函數的收斂速度,以及多極值函數的精確度都提高。
再者,本文應用模糊控制理論針對雙自由度隔振系統設計一模糊控制器,進行主動式隔振控制。控制力係以隔振器的位移與速度反應透過模糊控制規則推論之。以衝擊負荷、週期負荷與隨機負荷三種外激振負荷進行隔振系統數值模擬分析。由數值模擬分析結果證實,本文所設計的模糊控制器對雙自由度隔振系統之主動控制是可行的。最後,引進本文所探討的兩種優化工具,進行模糊控制法則的最佳化設計,以增進模糊控制器的控制效果。
Abstract

Firstly, in this thesis, a novel successive Taguchi method for global optimization in design of experiments is proposed. The results show that the performance of this method is outstanding through several discrete optimization problems. Next, the evolution algorithm that is based on the Garbage Can decision-making model of social science in public policies and adapt the search mechanism of the differential evolution algorithm (DE) , called GCMEA, is proposed for the global optimization problems. The search performance of GCMEA is better than DE by testing several
single- and multi- modal benchmark functions.
And then, in this thesis, the fuzzy control theory is used to design a fuzzy logic controller for the active vibration isolation systems with 2-degree-of-freedom. The magnitude of control force is determined by the fuzzy control rule with displacement and velocity of the isolator

system. Through the numerical simulations of the active vibration isolation systems subjected to three excitings, such as impact, periodic and stochastic loading, the results show that demonstrate good performance and feasibility the fuzzy logic controller. Finally, the novel successive Taguchi method and GCMEA developed in this thesis are also used to optimize the controlling performance of the developed fuzzy logic
controller for this active vibration isolation systems.
中文摘要…………………………………………………………………I
英文摘要 ………………………………………………………………II
誌謝 ……………………………………………………………………III
目錄 ……………………………………………………………………V
圖目錄 ………………………………………………………………VIII
表目錄 ………………………………………………………………XIV

第一章 緒論……………………………………………………………1
1.1 研究背景與動機……………………………………………………1
1.2 標竿測試問題介紹…………………………………………………5
1.3 研究方向與論文架構………………………………………………13
第二章 循序式田口方法………………………………………………15
2.1 田口方法 …………………………………………………………15
2.2 循序式田口方法 …………………………………………………22
2.3 實驗結果與討論 …………………………………………………26
�� 2.3.1 三水準之實驗設計問題……………………………………26
�� 2.3.2 五水準之實驗設計問題 .…………………………………. 34
2.4 小結 ……………………………………………………………… 38
第三章 基於垃圾桶決策模式之進化演算法…………………………39
3.1差分進化法…………………………………………………………40
3.2突變法則與參數之影響分析………………………………………46
3.3 垃圾桶決策模式 ………………………………………………… 63
�� 3.3.1 垃圾桶決策模式簡介……………………………………… 65
�� 3.3.2 垃圾桶決策模式之架構…………………………………… 67
3.4基於垃圾桶決策模式之進化演算法………………………………69
3.5 結果與討論 ……………………………………………………… 74
第四章 模糊控制………………………………………………………82
4.1 模糊理論 ………………………………………………………… 84
�� 4.1.1 模糊集合………………………………………………… …85
�� 4.1.2 模糊化…………………………………………………… …86
�� 4.1.3 解模糊化之計算………………………………………… …88
�� 4.1.4 歸屬函數的種類………………………………………… …89
4.2模糊規則庫與模糊引擎……………………………………………91
4.3 實例測試與討論 ………………………………………………… 95
第五章 主動式動態隔振系統……………………………………… 100
5.1 主動式隔振系統…………………………………………………101
�� 5.1.1 主動式隔振模糊控制系統模型 …………………………101
�� 5.1.2 多自由度動態系統之暫態響應求解過程 ……………… 103
5.2 模糊控制器的設計……………………………………………… 106
5.3 模糊控制器參數之最佳化設計………………………………… 111
�� 5.3.1 循序式田口方法之模糊控制器參數最佳化設計 ……… 111
�� 5.3.2 基於垃圾桶決策模式之進化演算法之模糊控制器參數最佳
化設計………………………………………………………115
5.4 數值模擬實例與結果討論……………………………………… 118
�� 5.4.1 模糊控制器之隔振測試與討論 ………………………… 126
�� 5.4.2 循序式田口方法最佳化模糊控制器的隔振測試與結果
………………………………………………………………133
�� 5.4.3 基於垃圾桶決策理論之進化演算法優化模糊控制器測試與
結果…………………………………………………………146
5.5 結果與比較……………………………………………………… 156
第六章 結論與未來展望 ……………………………………………164
參考文獻………………………………………………………………167
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