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研究生:黃宇白
研究生(外文):Yu-bai Huang
論文名稱:具人體模型之車輛主動式懸吊系統設計
論文名稱(外文):Active Suspension Design for a Vehicle with Human Body Model
指導教授:呂森林
指導教授(外文):Sen-lin Lu
學位類別:碩士
校院名稱:國立臺灣科技大學
系所名稱:機械工程系
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:2009
畢業學年度:97
語文別:中文
論文頁數:124
中文關鍵詞:主動式懸吊系統人體模型模糊控制理論遺傳演算法
外文關鍵詞:active suspension systemhuman body modelfuzzy control theorygenetic algorithms
相關次數:
  • 被引用被引用:5
  • 點閱點閱:296
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  • 下載下載:79
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本研究引用人體機械模型進行1/4車輛模型與1/2車輛模型之主動式懸吊系統設計。文中以乘員頭部之垂直加速度均方根值做為舒適性之指標,並以ISO 2631-1(1985)之全身性振動極限做為人體長時間暴露於振動環境之規範。
在設計主動式懸吊系統時,導入遺傳演算法與模糊控制理論,運用遺傳演算法調整模糊控制器之控制參數,並以乘員頭部之垂直加速度及乘員頭部垂直加速度變化為控制器之回授,以降低乘員頭部加速度均方根值為設計目標。
數值模擬結果顯示,在特定車速及不規則路面下,以降低乘員頭部加速度為目標所設計之主動式車輛懸吊系統,其對於乘員身體其他部位及在不同車速亦有同等程度之改善成效。而且本主動式懸吊系統不論在不規則路面或步階路面上,對於乘員之舒適性皆有明顯之改善。
This thesis cites the human body mechanical model as the basis of the design of active suspension system using the 1/4 vehicle model and 1/2 vehicle model. The study considers the root mean square value of vertical acceleration of the passenger head as indicators of comfort referred to the whole-body vibration limit of ISO 2631-1(1985) to specify the human-body exposure to vibration environment.
The design of active suspension systems combines the genetic algorithm with fuzzy control theory. The genetic algorithm is used to adjust the control parameters of fuzzy controller. The fuzzy controller uses the vertical acceleration of passenger head, and its rate of change as feedback to reduce the mean square value of the vertical acceleration of passenger head.
The numerical results show that although the active suspension system of vehicle is designed mainly to reduce the passenger head acceleration at a specified speed travelling on an irregular road, it also provides the same improvement level for the other parts of body and different travelling speeds. And the active suspension systems have obvious improvements on the comfort of passengers regardless of the irregular road or the step road.
摘要 I
ABSTRACT II
誌謝 III
目錄 IV
圖目錄 VII
表目錄 XI
符號表 XIII
第一章 緒論 1
1.1 前言 1
1.2 懸吊系統的特性及類型 2
1.3 文獻回顧 6
1.4 研究動機與目的 10
1.5 論文架構 11
第二章 乘員舒適性評估方法與標準 13
2.1 前言 13
2.2 人體機械模型 14
2.3 全身性振動暴露規範 16
2.3.1 ISO 2631-1 (1985)全身振動暴露極限 17
第三章 遺傳演算法與模糊控制理論 18
3.1 遺傳演算法 18
3.1.1 遺傳演算法之基本流程 19
3.1.2 編碼與解碼 21
3.1.3 適應函數 22
3.1.4 基本運算子 22
3.1.5 菁英政策 25
3.1.6 停止準則 26
3.2 模糊控制理論 26
3.2.1 模糊集合 27
3.2.2 歸屬函數 28
3.2.3 模糊邏輯控制器 30
第四章 系統方程式和設計方法 35
4.1 系統方程式 35
4.1.1 1/4車輛模型 35
4.1.2 1/2車輛模型 38
4.2 模糊邏輯控制器之設計 42
4.2.1 歸屬函數之參數調整 43
4.2.2 模糊規則庫之參數調整 47
第五章 模擬和討論 49
5.1 1/4車輛模型 51
5.1.1範例一:車輛行駛於不規則路面 55
5.1.2範例二:車輛行駛於步階路面 69
5.2 1/2車輛模型 73
5.2.1範例一:車輛行駛於不規則路面 79
5.2.2範例二:車輛行駛於步階路面 102
第六章 結論與未來展望 108
6.1 結論 108
6.2 未來展望 109
參考文獻 111
附錄 116
作者簡介 124
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