臺灣博碩士論文加值系統

Hammerstein 模型為一個靜態非線性方塊串聯一個動態線性方塊組成，本研
究使用小波網路鑑別Hammerstein 模型中靜態非線性方塊，而以狀態空間模型
表示動態線性方塊，針對熔融碳酸鹽燃料電池系統與直接甲醇燃料電池系統做
系統鑑別，均得到不錯的效果。

最後我們使用鑑別出的Hammerstein 模型設計控制器，控制燃料電池系統。

Hammerstein model achieves this configuration as a series connection of static nonlinear block with a dynamic linear block. This study use Wavelet Network to identify the static nonlinear block of Hammerstein model, and show the dynamic linear block with state space model .And we get great result at identify the Molten Carbonate Fuel Cell and Direct Methanol Fuel Cell systems.
Finally we use the Hammerstein model design controller that we identified to control the fuel cell system.

中文摘要..............................i
ABSTRACT .............................ii
致謝 .............................iii
目錄 .............................iv
附圖目錄 .............................vi
附表目錄 .............................viii
1緒論
1.1 前言..............................1
1.2 研究動機與目的....................3
1.3 燃料電池介紹......................5
1.4 文獻回顧..........................13
2研究方法
2.1 前言...........................15
2.2 熔融碳酸鹽燃料電池............15
2.2.1 數學模式之假設..........15
2.2.2熔融碳酸鹽燃料電池系統...18
2.3 直接甲醇燃料電池..............24
2.3.1 數學模式之假設..........24
2.3.2直接甲醇燃料電池系統.....25
2.4 何為系統辨識..................31
2.4.1系統鑑別基本步驟.........33
3 Hammerstein 模型
3.1 小波理論......................35
3.3 小波網路......................37
3.2.1 小波網路參數調整算法....39
3.3 狀態空間......................44
4 模擬結果與控制設計
4.1熔融碳酸鹽燃料電池模擬結果......46
4.2直接甲醇燃料電池模擬結果........54
4.3控制設計........................61
5 總結與展望.........................73
參考文獻..............................74
附錄 A................................76
附錄 B................................79
附錄 C................................81
作者簡介..............................82

[1]W.L. Luyben and E. Eskinat, Nonlinear auto-tune identification, Int. J. Control Vol 59 (1994), pp. 595–626.
[2]Kalafatis, A.; Arifin, N.; Wang, L.; Cluett, W. R. A New Approach to the Identification
of pH Processes Based on the Wiener Model. Chem. Eng. Sci. 1995, 50, 3693.
[3]Gallman, P. G. An Iterative Method for The Identification of Nonlinear Systems Using
Uryson Model. IEEE Trans. Autom. Control 1975, AC-20, 771.
[4]Chun-Hua Li, Xin-Jian Zhu, Guang-Yi Cao, Sheng Sui and and Ming-Ruo Hu
‘Identification of the Hammerstein model of a PEMFC stack based on least squares support vector machines’, Journal of Power Sources, Volume 175, Issue 1, 3 January 2008, Pages 303-316
[5] Hai-Bo Huo, Xin-Jian Zhu, Wan-Qi Hu, Heng-Yong Tu, Jian Li and Jie Yang
‘An introduction to wavelets’, Journal of Power Sources, Volume 185, Issue 1, 15
October 2008, Pages 338-344
[6]C. K. Chui, ‘An introduction to wavelets’, Acadamic Press, INC., 1992
[7]‘Scanning the special issue on wavelets’, The Proceedings of the IEEE, Vol.84,
No.4, 1996.
[8] Raghuveer M. Rao and Ajit S. Bopardikar, ‘Wavelet Transform: introduction to theory and applications’, Addison Wesley Longman, Inc., 1998.
[9] Qinghua Zhang and Albert Benveniste, ‘Wavelet Networks’, IEEE Transactions of Neural Networks, Vol. 3, No. 6, pp.889-898, 1992.
[10] Jessy George Smith, Shivaram Kamat and K.P. Madhavan, ‘Modeling of pH process using wavenet based Hammerstein model Journal of Process Control Volume 17, Issue 6, July 2007, Pages 551-561
[11]Yu-Min Cheng, Bor-Sen Chen, and Fu-Yuan Shiau, ‘Adaptive Wavelet Network Control Design for Nonlinear’, Proceedings of the National Science Council, Republic of China, Part A: Physical Science and Engineering Vol.22 No. 6. 1998
Natl. Sci. Counc. Taipei Taiwan p 783-799.
[12]Jun Li , Ying-Wei Kang, Guang-Yi Cao, Xin-Jian Zhu, Heng-Yong Tu and Jian Li,
‘Nonlinear identification of a DIR-SOFC stack using wavelet networks’, Journal of Power Sources, Volume 179, Issue 2, 1 May 2008, Pages 673-682
[13] “System Identification Toolbox User''s Guide”, MathWorks, Inc.
[14] Q. Zhang, Using wavelet network in nonparametric estimation, IEEE Trans. Neural
Networks 8 (1997), pp. 227–236.
[15]羅俊傑，2009，具內部重組熔融碳酸鹽燃料電池系統模擬與控制設計，
國立雲林科技大學碩士論文，雲林，台灣

[16]林瑜瑭，2009，直接甲醇燃料電池可用能分析與最佳化設計，
國立雲林科技大學碩士論文，雲林，台灣
[17]趙清風，2001，使用MATLAB控制之系統識別，全華科技圖書股份有限公司
，台灣
[18]李銘偉，2001，非線性程序之模式識別與控制系統設計，國立臺灣大學
「台大工程」學刊，台北，台灣
[19]張德豐，2009，MATLAB神經網路應用設計，機械工業出版社，北京，大陸
[20]洪士林，2008，應用小波神經網路於橋樑實測地震反應之損壞偵測，
國立交通大學土木工程系，新竹，台灣
[21]陳厚岑，2009，以方塊導向模型為基礎之非線性程序鑑別，國立成功大學，
化學工程學系博士論文，台南，台灣