鋼板熱軋的生產過程中，精軋區中的軋機常常因為更換不同軋延尺寸或不同材質的鋼板，導致預測輥隙設定值和軋延力值與實際軋延間隙及軋延力間的誤差過大，而增加軋壞的發生率。尤其以鋼帶頭端(head end)輥隙開度設定最難以預測與控制。本文針對鋼帶頭端輥隙開度的最佳化設定，提出以模糊理論為基礎，依據鋼帶頭端的軋延力預測誤差值，設計一智慧型控制器動態設定輥隙開度，使鋼帶能夠順利地穿帶，並且有效地提升鋼帶頭端厚度的精確度。
整個過程是屬於離線模擬，包含初始值設定模型、軋延數學模型和模糊控制器三部份。對於實際的軋延現象，以非線性關係式來建構軋延數學模型。至於模糊控制器方面，運用常態分布的方法對熱軋資料作處理並分類，建立各站的歸屬函數，根據模擬所得的頭端軋延力誤差，來判斷下站鋼帶頭端的厚度誤差，進而適當地調整輥隙，以縮小板厚誤差。最後根據中鋼公司提供的資料，評估整個動態輥隙設定系統的效能。模擬結果顯示，超過60%的資料，修正與改善其鋼帶頭端誤差，並且縮小約18%的板厚誤差。

In a hot rolling mill process, variations in strip thickness or material types could result in significant errors of setup values for finishing mill machines and increase the possibility of strip cobbling. It is difficult to predict the optimal setup values for all the rollers'' gap in finishing mills. This thesis focuses on the optimal roll gauge setup for the strip’s head end and then designs an intelligent controller to carry out the dynamic roll gauge setup system based on fuzzy control theory. According to the deviation between the predicted rolling forces and the actual rolling forces, in order to improve the accuracy of head end strip thickness and reduce the production cost.
The total process belongs to off-line simulation, including an initial value setup model, a rolling mathematical model and a fuzzy controller. For the actual rolling phenomenon, we use the nonlinear equations to construct the rolling mathematical model. About the fuzzy controller, we adopt the possibility distribution method to deal with the rolling data and build the rolling stand’s membership function. According to the deviation between the predicted rolling forces and the simulated rolling forces, to estimate the strip head end thickness error of the next stand and adjust the roll gauge value accordingly to reduce the thickness error. Finally, we adopted on-line data provided by China Steel Corporation, to test the feasibility of the dynamic roll gauge setup system. From the simulation results, more than sixty percents of the strip head end thickness have better accuracy and their thickness errors reduce up to eighteen percents.

中文摘要i
英文摘要ii
誌　謝iii
目　錄iv
圖目錄vi
表目錄viii
第1章 緒論1
1.1 研究動機1
1.2 文獻探討2
1.3 本文概述3
第2章 軋延模型4
2.1 軋延數學模型假設4
2.2 軋延數學模型4
2.2.1 軋延力5
2.2.2 前滑係數7
2.2.3 摩擦係數8
2.2.4 工輥變形半徑9
2.2.5 軋延功率10
2.2.6 鋼帶溫度分析10
第3章 軋延模型之驗證12
3.1 前言12
3.2 軋延模型的計算12
3.3 軋延模型的驗證14
第4章 模糊控制器20
4.1 模糊理論20
4.1.1 模糊推論20
4.1.2 解模糊化23
4.2 模糊控制器的架構24
4.3 建立模糊控制器25
4.3.1 模糊化25
4.3.2 模糊推論法則26
4.3.3 推論歸屬函數27
4.3.4 結論歸屬函數28
4.3.5 解模糊化29
4.4 多變量常態分布30
第5章 動態輥隙設定系統之驗證35
5.1 數據分析35
5.2 模擬結果41
5.3 結論與展望55
參考文獻57

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