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標題: 應用熱電模組進行溫控之研究
Study of Temperature Control Using Thermoelectric Modules
作者: 李立宏
Lee, Li-Hon
關鍵字: thermoelectric;熱電致冷器;fuzzy control;fuzzy pid;heat sink;Temperature Control;模糊控制;模糊PID;熱沉;溫度控制
出版社: 機械工程學系所
引用: 參考文獻 1. Gao Min、D.M.ROWE and F.Volkein,”Integrated Thin Film Thermoelectric Cooler”,ELECTRONICS LETTERS 22nd,vol.34,No.2 p.222,January,1998. 2. F.Volklein,Gao Min and D.M.Rowe,”Modeling of a Micro Electromechanical Thermoelectric Cooler”,Sensors and Actuators,vol.75,pp.95-101,1999 3. Patric E.Phelan,Victor Chiriac and Tien-Yu Tom Lee,”Current and Future Miniature Refrigeration Cooling Technologies for High Power Microelectronics”,17th IEEE SEMI-THERM Symposium,2001. 4. D.J.Yao,C.J.Kim and G Chan,”MEMS Thermoelectric Microcooler”,20th Internal Conference on Thermoelectric, pp401-404,2001 5. B.J.Huang*,C.L.Duang”system dynamic model and temperature control of a thermoelectric cooler”International Journal of Refrigeration 23(2000) p.179-207 6. Y. J. Chang et al.,” Improving Temperature Control of Laser Module Using Fuzzy Logic Theory,” 20th IEEE SEMI-THERM Symposium,pp.198-204,9-11 Mar,2004. 7. Ziegler,J. G. and N. B. Nichols,”Optimum Settings for Automatic Controllers”,Transaction of the ASME,vol.64,pp.759-768,1942 8. I.JETTE,M. ZAHEER-UDDIN and P.FAZIO”PI-Control of Dual System:Manual Tuning and Control Loop Interaction” Energy Convers. Mgmt vol.39,No.14,pp1471-1482,1998 9. Zadeh, L. A., ”Fuzzy Sets”Inform.Contr.,vol.8,pp.338-353,1965. 10. Zadeh, L. A ”A fuzzy set theoretic interpretation of linguistichedges,” Journal of Cybernetics,vol .2, pp4-34,1972. 11. Zadeh, L. A “Outline a new approach to the analysis of complex system and decision processes,” IEEE Transactions on Systems, Man, and Cybernetics,vol. SMC-3, No. 1, pp 28-44 12. E.H.Mamdni,”Application of fuzzy algorithms for control of a simple dynamic plant,” IEEE Proc.Control Theory Applications.121-12.pp1585-1588,1974. 13. A.Vitecek, L.Smatny, and J.Kusyn,”Fuzzy approach to the design of the simple control algorithms,”9th IFAC World Congress,pp.234-239,1984. 14. A.Ollero and A.J.Garcia-Cerezo, “Direct digital control,auto-tuning and supervision using fuzzy logic,”Fuzzy Sets and Systems,vol.30, pp.135-153,1989. 15. 黃漢邦,林維銘,”Development of simplified fuzzy controller and it’s relation to PID controller,” 第15屆全國自動控制研討會.ROC,pp.58-66,1991. 16. Z. Y. Zhao, M. Tomizuka ,and S. Isaka,,”Fuzzy Gain Scheduling of PID Controllers” IEEE Trans . on Systems,Man,Cybernetics.vol.23,No.5,pp.1392-1398,1993 17. Onur KARASAKAL.Engin YESIL,Mujde GUZELKAYAY,Ibrahim EKSIN”Implementation of a New Self-Tuning Fuzzy PID Controller on PLC” Energy Conversion and Management 47(2005) ,p.132-145 18. Ho,W.K.,C.C.Hang,and L.S.Cao,”Tuning of PID controller Based on GAIN and phase Margins Specifications”,Automatic,vol.31.p.497-502 1995 19. Hang,C.C.,K.J.Astrom ,and W.K.Ho,”Refinements of the Ziegler-Nichols Tuning Formula”,Proc.IEE,Pt.D,vol.138,p111-118 20. Shen,J.C.,”New tuning Method for PID Control of a Plant with Under-damped Response”,Asian Journal of Control,vol.2,p.31-41,2000. 21. Zhung, M. and D.P. Atherton,”Automatic Tuning of Optimum PID Controllers”,Proc.Inst.Eng.,vol.140,p216-224.1993 22. 張碩”自動控制系統” 鼎茂叢圖書出版股份有限公司,民90年6月 p8-4~8-14 23. 孫宗瀛,楊英魁,”fuzzy 控制理論、實作與應用”全華科技叢書民84年9月 p1-11 24. R.W.Knight,J.S.Gooding,D.J.Hall,Optimal thermal design of forced convection heat sinks-analytical,J Electron Packaging 113(1991)313-321. 25.
本文主要探討在外界一隨機干擾熱源和熱阻的改變下,使受控物維持在恆溫的問題,主要利用PID、模糊PID和模糊控制器改變熱電致冷器電流以達到目的,並且比較三種控制器對於抗干擾及系統參數改變下的強健性與適應性。由本文模擬所示在無參數變更的條件下,模糊控制器在暫態或穩態響應都優於其他兩者;而在熱沉改變時模糊PID控制器的強健性則優於其他兩者。若系統導入模糊理論,則系統在精度或響應速度上皆優於傳統PID控制器 。

This research aims to develop control methodologics that keeping constant temperature of an given object under the interference from outside random heat interference and thermal resistance. A controlled thermoelectric cooler is employed to achieve this goal, PID, fuzzy PDI and fuzzy controller are applied to modify the current of thermoelectric cooler and compare the robustness and adjustment of these three controllers when they are under the anti-interference and system parameter variety. This project stimulates the condition without parameter change; fuzzy controller is superior to the other two devices no matter in temporary or steady status. Also the robustness of fuzzy PID controller is better than others. Therefore, if the fuzzy theory is conducted to the system, the accuracy or relative speed will be better than the traditional
PID controller.
其他識別: U0005-0408200616170500
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