臺灣博碩士論文加值系統

防鎖死煞車系統主要的目的乃藉著控制煞車分泵液壓壓力，使車輛保持在最大摩擦力，縮短煞車的距離，使車輛能夠達到快速煞車的目標，同時確保車輛在煞車過程中有良好的方向操控性與穩定性。本論文主要貢獻在於，進一步考慮具傾斜條件之車體模型，並提出基因演算法之適應性滑動模糊控制方法。
在控制方法上，本論文使用適應性滑動模糊控制方法對系統作補償控制器，以模糊類神經網路近似未知函數，並提出以基因演算法作為適應調整的策略減少全滑動控制所產生之抖振問題，使用滑動控制減少近似誤差對系統的影響以保證系統穩定性，以及使用Lyapunov定理證明其穩定性，因此系統的穩定性可以被保證，最後並以例子的模擬來驗證所提出方法之成效。

The goal of an anti-blocking system (ABS) is a kind of equipment which can adjust the braking torque of each wheel automatically, avoiding the lock-up of wheels. The ABS can provide directional stability and steering ability of vehicle and help to take the most advantage of the road adhesive force, and also reduce the braking distance. In this paper, our contribution is that we consider a vehicle model and propose a hybrid controller for the vehicle model.
The controller consists of a sliding mode controller with fuzzy neural network. The fuzzy neural network, which is used as an approximator, is on-line tuned using a genetic algorithm to reduce chattering. The sliding mode controllers are used to eliminate the approximate error.
Using Lyapunov stability theorem, the stability of the control strategy is guaranteed. Simulations show the effectiveness of the proposed ABS controller for various road conditions.

目錄
頁次
中文摘要…………………………………………………………………………. i
英文摘要……………………………………………………………………….... ii
誌謝 ……………………………………………………………………….... iii
目錄 ……………………………………………………………………….... iv
表目錄 ….………………………………………………………………........... vi
圖目錄 ………………………………………………………………………… vii
符號說明 ……………………………………………………………………… ix
第一章 緒論......………………………………………………………………… 1
1.1研究背景……………………………………………………………….. 1
1.2文獻回顧……………………………………………………………….. 1
1.3研究方法與本文架構………………………………………………….. 2
第二章 防鎖死煞車系統之數學模式建立…………………………………….. 4
2.1摩擦力模型…………………………………………………………….. 4
2.2摩擦力與滑差的關係………….………………………………………. 6
2.3影響摩擦力的各種因素……………………………………………….. 8
2.3.1不同路面對摩擦力的影響………………………………………. 8
2.3.2不同煞車的車速對摩擦力的影響………………..……………. 10
2.3.3不同側滑角對抓地力的影響…………………………………... 10
2.4液壓系統之動態等效模型…………………………………………….. 12
2.5車體之動態等效模型………………………………………………….. 13
第三章 基因演算適應性之滑動模糊制……...……………………….……….. 17
3.1滑動模式控制理論介紹………………..…………...…………………. 17
3.1.1滑動模式…………………………………………………………. 18
3.1.2滑動條件與迫近條件……………………………………………. 18
3.1.3滑動模式控制設計………………………………………………. 21
3.2基因演算適應性之滑動模糊控制器設計…………………………….. 25
3.2.1滑動模糊控制設計………………………………………………. 25
3.2.2基因演算適應性法則……………………………………………. 28
3.3車輛行進於水平路面模擬結果……………………………………….. 30
第四章 考量斜坡條件之車體數學模式建立………………………………….. 37
4.1行進於斜坡之車體數學模式………………………………………….. 37
4.2考量斜坡條件之車體數學模式控制器設計………………………….. 39
4.2.1滑動模糊控制設計………………………………………………. 40
4.2.2基因演算適應性法則……………………………………………. 43
4.3 車輛行進於傾斜路面模擬結果與討論………………………………. 46
第五章 結論與未來展望……………………………………………………….. 82
參考文獻………………………………………………………………………. .. 83

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