跳到主要內容

臺灣博碩士論文加值系統

(3.87.250.158) 您好!臺灣時間:2022/01/25 19:06
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:陳金良
研究生(外文):Jin-Liang Chen
論文名稱:感應電動機之模糊類神經網路控制器之研究
論文名稱(外文):Study of the Fuzzy Neural Network Controller for Induction Motor Driver
指導教授:陳添智陳添智引用關係
指導教授(外文):Tien-Chi Chen
學位類別:碩士
校院名稱:國立成功大學
系所名稱:工程科學系碩博士班
學門:工程學門
學類:綜合工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:85
中文關鍵詞:模糊類神經網路
外文關鍵詞:Fuzzy Neural Network
相關次數:
  • 被引用被引用:7
  • 點閱點閱:2551
  • 評分評分:
  • 下載下載:971
  • 收藏至我的研究室書目清單書目收藏:3
  模糊理論自提出迄今已數十年,也普遍應用於各種控制系統上,雖然由模糊理論所發展出之模糊控制器,跳脫了傳統控制需知道受控體系統之數學模型,對於未知之系統有強大包容性。但因為模糊知識庫及歸屬函數之建立不易,所以對於轉移函數未知,及參數時時變動之控制系統,仍不易設計一傳統模糊控制器,使控制系統產生良好之響應。

  針對這些缺點,本文提出了模糊類神經網路控制器,將模糊理論與類神經網路結合在一起,因類神經網路具有自我學習、彈性容錯等功能,所以利用類神經網路演算法來修正控制器和識別器內部參數,使控制器及識別器能自行調整歸屬函數,達到智慧型控制之目的,藉以彌補模糊理論之不足,使轉移函數不精確及參數時時變動之控制系統能產生良好之響應,將此控制器應用於感應電動機速度控制上,以期能得到良好之速度響應。

  本文以DSP TMS320C32具浮點運算功能之32位元數位訊號處理器作為感應電動機轉速控制器中心,並配合本實驗室自行設計之AD/DA介面卡與驅動電路,以實現本文所提之控制理論於感應電動機上。由模擬及實驗結果得知,本文所提之控制方法,不僅暫態響應快,無穩態誤差,且對於參數變動及負載變動有良好之強健性,驗証了本文所提之控制方法之可行性。
  Fuzzy theorems have been proposed for several decades and used in various control systems. Fuzzy controllers avoid certain control system models and have strong tolerance for uncertain systems. However, the fuzzy rule base and membership functions are not easy to establish. It is difficult to design a traditional fuzzy controller for a system with uncertainty and parameter variations that can produce excellent response.

  This thesis proposes a fuzzy neural network controller that combines the fuzzy theorem and neural network. Because the neural network has the ability to be trained, we used a neural network algorithm to amend the parameters in the fuzzy controller and identifier. The fuzzy neural network controller can then make up for the disadvantages in the fuzzy theorem by modifying the membership functions in the controller and identifier. The proposed fuzzy neural network controller is applied to an induction motor speed controller to achieve excellent speed response.

  The proposed control scheme was implemented using a 32-bit TMS320C32 digital signal processor, AD/DA interface and drive circuit. Simulations and experimental results demonstrated that the proposed control scheme has a quick speed response and no steady state error. This method is robust in parameter variations and load torque disturbance.
中文摘要 I
英文摘要 II
誌謝 III
目錄 IV
表目錄 VI
圖目錄 VII
符號 X

第一章 緒論 1
  1-1 簡介 1
  1-2 研究動機 1
  1-3 本文大綱 3

第二章 感應電動機之數學模式及控制方法 5
  2-1 感應電動機(Induction motor) 5
  2-2 轉換器(Converter) 8
  2-3 變頻器(Inverter) 8
  2-4 PWM電流控制 11
  2-5 SIN/COS產生電路 14
  2-6 座標軸轉換 14
  2-7 速度量測電路 17

第三章 自調式模糊類神經網路控制器 22
  3-1 速度控制器之架構 22
  3-2 自調式模糊類神經網路識別器之設計 23
    3-2-1 自調式模糊類神經網路識別器之運作 23
    3-2-2 數學模式 24
    3-2-3 修正識別器內部參數 ( ) 25
  3-3 自調式模糊類神經網路控制器之設計 33
    3-3-1 自調式模類糊類神經網路控制器之運作 34
    3-3-2 修正控制器內部參數 ( ) 35
    3-3-3 控制器演算法流程 45

第四章 計算機模擬 47
  4-1 馬達參數規格及實驗項目 47
  4-2 模擬結果 49

第五章 控制系統之實現與實驗結果 60
  5-1 DSP PC/C32系統控制板 60
  5-2 軟體發展工具與控制程式 64
    5-2-1 軟體發展工具 64
    5-2-2 控制程式流程 65
  5-3 控制系統之實驗結果與討論 65

第六章 結論 79
參考文獻 81
簡歷 85
[1]L. A. Zadeh, “Fuzzy Set”, Information and Control, Vol. 8, pp. 338-358, 1965.

[2]A. K. Adnanes, “Torque Analysis of Permanent Magnet Synchronous Motors”, IEEE 22nd Power Electronics Specialists Conference, pp. 695-701, 1991.

[3]M. J. Thomas, “Motion Control with Permanent Magnet AC Machines”, Proceedings of the IEEE, Vol. 82, No. 8, pp. 1241-1252, August 1994.

[4]F. J. Lin and C. M. Liaw, “Control of Indirect Field-Oriented Induction Motor Drives Considering the Effects of Dead-Time and Parameter Variations”, IEEE Trans. on Industrial Electronics, Vol. 40, No. 5, pp. 486-495, October 1993.

[5]Q. P. Ha, M. Negnevitsky and F. Palis, “Cascade PI-Controllers with Fuzzy Tuning”, IEEE International Conference on Fuzzy Systems, Vol. 1, pp. 361-366, 1997.

[6]L. A. Zadeh, “Outline of a New Approach to the Analysis of Complex Systems and Decision Processes”, IEEE Trans. on Systems, Man, and Cybernetics, Vol. SMC-3, pp. 28-44, 1973.

[7]L. A. Zadeh, “Fuzzy Logic = Computing with Words”, IEEE Trans. on Fuzzy Systems, Vol. 4, No. 4, pp. 103-111, May 1996.

[8]S. Haykin, Neural Network A Comprehensive Foundation, N.J.: Prentice Hall, 1999.

[9]C. Y. Huang, C. T. Chen and C. L. Huang, “Robust Control of Induction Motor with A Neural-Network Load Torque Estimator and A Neural-Network Identification”, IEEE Trans. on Industrial Electronics, Vol. 46, No. 5, pp. 990-997, October 1999.

[10]T. T. Sheu, C. T. Chen and C. L. Huang, “Self-tuning Control of Induction Motor Drive Using Neural Network Identifier”, IEEE Trans. on Energy Conversion, Vol. 14, No. 4, pp. 881-886, December 1999.

[11]X. Cui and K. G. Shin, “Direct Control and Coordination Using Neural Network”, IEEE Trans. on Systems, Man, and Cybernetics, Vol. 23, No. 3, pp. 686-697, May/June 1993.

[12]C. C. Ku and K. Y. Lee, “Diagonal Recurrent Neural Networks for Dynamic System Control”, IEEE Trans. on Neural Networks, Vol. 6, No. 1, pp. 144-156, January 1995.

[13]X. Liang, “Comments On “Diagonal Recurrent Neural Networks for Dynamic System Control”—Reproof of Theorems 2 and 4”, IEEE Trans. on Neural Networks, Vol. 8, No. 3, pp. 811-812, May 1997.

[14]G. A. Rovithakis and M. A. Christodoulou, “Adaptive Control of Unknown Plants Using Dynamical Neural Networks”, IEEE Trans. on Systems, Man, and Cybernetics, Vol. 24, No. 3, pp. 400-412, March 1994.

[15]J. Nie and D. A. Linkens, “Learning Control Using Fuzzified Self-Organizing Radial Basis Function Network”, IEEE Trans. on Fuzzy Systems, Vol. 1, No. 4, pp. 280-287, November 1993.

[16]Y. Y. Chen, K. Z. Lin and S. T. Hsu, “A Self-Learning Fuzzy Controller”, IEEE International Conference on Fuzzy Systems, pp. 189-196, February 1992.

[17]J. S. R. Jang, “Self-Learning Fuzzy Controllers Based on Temporal Back Propagation”, IEEE Trans. on Neural Networks, Vol. 3, No.5, pp. 714-723, September 1992.

[18]I. Rojas, H. Pomares, J. Ortega and A. Prieto, “Self-Organized Fuzzy System Generation from Training Examples”, IEEE Trans. on Fuzzy Systems, Vol. 8, No. 1, pp. 23-36, February 2000.

[19]S. J. Huang and J. S. Lee, “ A Stable Self-Organizing Fuzzy Controller for Robotic Motion Control”, IEEE Trans. on Industrial Electronics, Vol. 47, No. 2, pp. 421-428, April 2000.

[20]C. T. Lin and C. S. G. Lee, “Neural-Network-Based Fuzzy Logic Control and Decision System”, IEEE Trans. on Computers, Vol. 40, No. 12, pp. 1320-1336, December 1991.

[21]Y. Diao and K. M. Passino, “Neural-Network-Based Fuzzy Logic Control and Decision System”, IEEE Trans. on Control Systems Technology, Vol. 40, No. 12, pp. 494-509, May 2001.

[22]H. X. Li and C. L. P. Chen, “The Equivalence Between Fuzzy Logic Systems and Feedforward Neural Networks”, IEEE Trans. on Neural Networks, Vol. 11, No. 2, pp. 356-365, March 2000.

[23]K. Kiguchi and T. Fukuda, “Intelligent Position/Force Controller for Industrial Robot Manipulators-Application of Fuzzy Neural Networks”, IEEE Trans. on Industrial Electronics, Vol. 44, No. 6, pp. 753-761, December 1997.

[24]F. J. Lin, R. J. Wai and S. L. Wang, “A Fuzzy Neural Network Controller for Parallel-Resonant Ultrasonic Motor Drive”, IEEE Trans. on Industrial Electronics, Vol. 45, No. 6, pp. 928-937, December 1998.

[25]Texas Instrument, TMS320C32 Floating-Point DSP Optimizing C Compiler User’s Guide, Rev. B, February 1995.

[26]Texas Instrument, TMS320C32 Floating-Point DSP Assembly Language Tools User’s Guide, Rev. B, February 1995.

[27]Loughborough Sound Images plc, PC/C32 Dos Software User Guide, Ver. 1.00, July 1995.

[28]Loughborough Sound Images plc, MPC View for PC/C32 User Manual, Ver. 1.01, August 1996.

[29]B. K. Bose, Power Electronics and AC Drives, Prentice-Hall, Englewood Cliffs, New Jersey, 1986.

[30]J. M. Mendel and G. C. Mouzouris, “Designing Fuzzy Logic Systems”, IEEE Trans. on Circuits and Systems-II: Analog and Digital Signal Processing, Vol. 44, No. 11, pp. 885-895, November 1997.

[31]L. X. Wang, A Course In Fuzzy Systems and Control, Prentice-Hall International, Inc., 1997.

[32]N. N. Karnik and J. M. Mendel, “Type-2 Fuzzy Logic Systems”, IEEE Trans. on Fuzzy Systems, Vol. 7, No. 6, pp. 643-658, December 1999.

[33]G. C. Mouzouris and J. M. Mendel, “Nosingleton Fuzzy Logic Systems: Theory and Application”, IEEE Trans. on Fuzzy Systems, Vol. 5, No. 1, pp. 56-71, February 1997.

[34]G. C. Mouzouris and J. M. Mendel, “Dynamic Non-Singleton Fuzzy Logic Systems for Nonlinear Modeling”, IEEE Trans. on Fuzzy Systems. Vol. 5, No. 2, pp. 199-208, May 1997.
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top