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研究生:黃俊翰
研究生(外文):Huang, Chun-Han
論文名稱:車床定力切削的智慧型控制
論文名稱(外文):Intelligent Control of Constant Cutting Force in Lathe
指導教授:林百福林百福引用關係
指導教授(外文):Lin, Bai-Fu
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:車輛工程系碩士班
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:2004
畢業學年度:92
語文別:中文
論文頁數:79
中文關鍵詞:切削力進給率灰預測模糊控制器自組織模糊控制器
外文關鍵詞:cutting forcefeedrategrey-prediction fuzzy controllerself-organizing fuzzy controller
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許多車輛的零組件,如離合器片,煞車盤,傳動軸等元件,都需經由車床切削加工完成。
在高速切削過程中,切削力是可變的且與切削條件的變化有關。假如切削力太大,
則刀具將快速磨耗並且增加設備的成本;若切削力太小,則工件的切削時間將會增加,
進而降低了車削加工的效率。
本研究改裝舊式車床,並且在 Windows 2000作業系統之下,
發展圖形介面的控制器以控制車削系統,評估其系統的控制性能。
因為在車削過程中,對於改善刀具壽命與提升加工效率而言,
定力切削控制為其中的選擇之一。
然而,舊式車床改裝之車削系統為非線性與複雜的控制系統。
它的數學模式很難被建立或估測出來,
基於傳統控制理論難以設計出以模式為基礎的控制器來控制車削系統,達到定力切削的目的。
智慧型控制策略有模式自由的特色,它非常適合使用於控制非線性複雜的系統。
因此,本研究提出三種智慧型控制器: (1)模糊控制器, (2)灰預測模糊控制器, (3)自組織模糊控制器,
分別控制舊式車床改裝之控制系統,並且進一步地評估這些控制器之間的控制性能。
實驗結果證實,灰預測模糊控制器與自組織模糊控制器遠比傳統模糊控制器有較好的控制性能,
但是對定力切削控制而言,
自組織模糊控制器遠比傳統模糊控制器或灰預測模糊控制器需要較多的計算時間在學習,
以得到較佳的控制性能。
Many vehicular components were manufactured by turning process in the lathe;
such as clutche pads, braking disks, transmission shafts, etc.
The cutting force is variable with respect to the cutting conditions variation in high speed turning process.
If the cutting force is large, the tool will rapidly wear so that the tool life is reduced and increases the cost of the equipment.
If the cutting force is small, the cutting time of the workpiece will increase and the efficiency of the turning process will also reduce.
This work refits an old lathe and develops graphic interface controllers to control it under Windows 2000 operation system,
for evaluating the system control performance.
Since the constant cutting force control is one of choice for improving the tool life and increasing the efficiency of the turning process.
However, the refitted old lathe is a nonlinear and complicated system.
Its mathematical model is difficult to be established or estimated.
Therefore, it is hard to design a model base controller based on traditional control theory for achieving the purpose of the constant force control in turning process.
The intelligent control strategy development has a mode free feature;
it very suits to be employed for controlling nonlinear and complex systems.
Hence, this study proposed three intelligent control strategies: (1) fuzzy controller (FC) , (2) grey-prediction fuzzy controller (GPFC) and (3) self-organizing fuzzy controller (SOFC),
to control individually the nonlinear with complicated refitted old lathe system and evaluates further between their control performances.
Experimental results verified that the grey-prediction fuzzy and the self-organizing fuzzy controllers have better control performance than traditional fuzzy controller alone for the constant cutting force control in turning process;
but the self-organizing fuzzy controller needs more computation consumption in learning process for constant cutting force control for achieving better control performance than traditional fuzzy controller or grey prediction fuzzy controller used.
中文摘要i
英文摘要ii
誌謝iv
目錄v
表目錄vii
圖目錄viii
第一章 緒論1
1.1研究動機與目的1
1.2文獻回顧2
1.3本文的貢獻3
1.4本文的架構4
第二章 舊式車床改裝之車削系統的架構分析5
2.1實驗設備5
2.2控制流程7
2.3數學模式分析8
第三章 控制器之設計11
3.1PID 控制器11
3.2模糊控制器11
3.2.1模糊控制器的設計11
3.2.2應用於舊式車床改裝之車削系統的模糊控制器14
3.3灰色理論演算法16
3.3.1灰色數列的生成16
3.3.2灰色模型的建立18
3.3.3應用於舊式車床改裝之車削系統的灰預測模糊控制器20
3.4自組織模糊控制器21
3.4.1自組織模糊控制器的設計21
3.4.2應用於舊式車床改裝之車削系統的自組織模糊控制器25
第四章 實驗結果與分析26
4.1Windows 2000作業系統下之圖形介面26
4.2切削力回授之訊號處理26
4.3固定切深之定力切削實驗27
4.3.1主軸轉速設定27
4.3.2固定切深之定力切削實驗的結果與分析28
4.4可變切深之定力切削實驗29
4.4.1切深步階設定29
4.4.2可變切深之定力切削實驗的結果與分析30
第五章 結論72
5.1本文重要的結論72
5.2未來研究方向73
參考文獻74
著作發表78
作者簡介79
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