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研究生:陳蔚強
研究生(外文):Wei-Chang Chen
論文名稱:基因演算法對工具機軌跡交叉耦合預補償控制法參數之最佳化
論文名稱(外文):Optimization of Parameters for CNC Machine Tracking Control with Cross-coupled Pre-compensation Method Using Genetic Algorithm
指導教授:秦繼華秦繼華引用關係
指導教授(外文):Jih-Hua Chin
學位類別:碩士
校院名稱:國立交通大學
系所名稱:工學院碩士在職專班精密與自動化工程學程
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2005
畢業學年度:93
語文別:中文
論文頁數:65
中文關鍵詞:基因演算法交叉耦合雙軸預補償控制法
外文關鍵詞:Genetic algorithmsCross-coupled pre-compensation control
相關次數:
  • 被引用被引用:3
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  • 下載下載:65
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在本論文中,使用基因演算法作為工具,去找出數控機械雙軸向刀具輪廓控制法中的最佳的增益值,以往通常採用試誤法去處理類似問題,但當控制系統變大且複雜時,這種方式會變得困難又無效率。
數控機械刀具輪廓控制法,包括傳統循跡系統--未耦合單軸向軌跡控制法(US),交叉耦合雙軸向控制法 (CCS),及交叉耦合雙軸向預補償控制法(CCPM),本論文將基因演算法應用在前述系列控制法中,成功的獲得系統最佳增益值,可證明基因演算法對動態系統增益值的規畫應用是有參考價值的。
ABSTRACT

Genetic algorithm is used as a tool to find the optimal gains for contour control of biaxial CNC machine tools in this work. In the past, this was usually done by trial and error, which became difficult and inefficient when the system became large and complicated.
The addressed contour control schemes for CNC machine tools include conventional tracking system (Uncoupled system, US) , Cross-coupled biaxial control (CCS), and Cross-coupled pre-compensation control (CCPM ). The successful implementation of genetic algorithm in sequential determination of system gains for the addressed control schemes showed that the genetic algorithm is applicable to the dynamic system in a manner of system gains configuration.
參考文獻
01. Sarachik, P., and Ragazzini, J. R., “A two dimensional feedback control system”, Trans. AIEE, vol. 76, 1957 pp.55-61.
02. Koren, Y., “Cross-coupled biaxial computer control for manufacturing systems”, ASME Trans Journal of Dynamic System, Measurement and Control, Vol.102, No.4, 1980, pp.265-272.
03. Kulkarni, V.K.,and Srinivasan, K.,”Cross-coupled control of biaxial feed drive servomechanisms”, Trans. ASME, J.Dyn. Syst. Measur. Contr.vol. 112, 1980 pp.265-272.
04. Koren, Y., and Lo, C. C., “Variable gain cross coupling control for contouring”, Annals of the CIRP, Vol.40, 1991, pp.371-374.
05. Chin, J.H., and Lin, T.C., “Cross-coupled Precompensation method for the contouring accuracy of computer numerically controlled machine tools”, International Journal of Machine Tools & Manufacture vol. 37, No.7,1997, pp.947-967.
06. Chin, J.H., and Lin, S.T., “The Path Precompensation method for flexible arm robot”, Robotics & Computer-Integrated Manufacturing, Vol.13, No.3, 1997, pp.203-215.
07. Lue, C.W., “A Study on the Coordinated motion of CNC machine and motion simulation platform”, National Chiao-Tung.University, Taiwan , ROC. Master’s Thesis 2002.
08.蘇木春、張孝德編著、”機器學習:類神經網路、模糊系統以及基因演算法則”,全華科技圖書股份有限公司出版, 中華民國, 九十二年二月.
09. Al-Duwaish, H. N., and Al-Hamouz, Z. M., “A genetic approach to the selection of the variable structure controller feedback gains”, IEEE International Conference on Control Applications Trieste, Italy 1-4 September 1998, pp. 227-231.
10.Tarng, Y.S., Chuang, H.Y.,and Hsu, W.T., “Intelligent Cross-coupled fuzzy feedrate controller design for CNC machine tools based on genetic algorithrms”, International Journal of Machine Tools & Manufacture 39, 1999, pp.1673-1692.
11.Tarng, Y.S., and LIN, Y.S., “Cross-coupled fuzzy logic control for multiaxis machine tools ”, Mechatronics Vol. 7. No 8, 1997, pp. 663-681, Elsevier Science Ltd.
12.Chin, J.H., and Cheng, Y.M., “Machining contour errors ensembles of cutting ,feeding and machine structure effects ”, International Journal of Machine Tools & Manufacture vol. 43. 2003, pp.1001-1014.
13.陳昱丞,碩士論文”基因演算法對複合式運動平台協同運動之最佳化”,“Optimization of Motion Coordination for Hybrid Motion Platform Using Genetic Algoritjm”,國立交通大學機械工程研究所指導教授 秦繼華, 中華民國, 九十三年六月.
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