跳到主要內容

簡易檢索 / 詳目顯示

研究生: 鄭遠鐘
Yuan-Zhong Zhen
論文名稱: 適應性類神經模糊控制器於泵浦系統之應用
指導教授: 莊漢東
Han-tung Chuang
口試委員:
學位類別: 碩士
Master
系所名稱: 工學院 - 機械工程學系
Department of Mechanical Engineering
畢業學年度: 88
語文別: 中文
論文頁數: 68
中文關鍵詞: 適應性網路模糊控制自調整穩態誤差泵浦
相關次數: 點閱:21下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報

  • 本研究所發展的適應性類神經模糊控制器可改善傳統模糊控制器需要不斷經由人工調整的方式才能找出合適歸屬函數參數的缺點,並可藉由此方式來補償絕對控制輸出型模糊控制器所生的穩態誤差。
    最後本研究將依據上述的控制器設計方式以調整吊鐘型歸屬函數參數為例,分別在馬達系統及泵浦系統上實行以驗証此控制器補償穩態誤差的能力。


    中文摘要 Ⅰ 英文摘要 Ⅱ 致謝 Ⅲ 目錄 Ⅳ 圖目錄 Ⅵ 表目錄 Ⅷ 第一章緒 論1 1.1前言1 1.2文獻回顧2 1.3研究方法3 1.4論文架構3 第二章模糊理論與控制4 2.1前言4 2.2模糊集合5 2.2.1明確集合與模糊集合5 2.2.2歸屬函數6 2.2.3模糊集合運算子9 2.3模糊規則及模糊推論12 2.3.1模糊規則12 2.3.2模糊推論14 2.4模糊控制器設計15 2.4.1輸入及輸出變數的定義16 2.4.2輸入及輸出變數的模糊化16 2.4.3控制規則的建立16 2.4.4模糊推論方法的選擇18 2.4.5解模糊化19 第三章適應性類神經模糊控制理論21 3.1前言21 3.2適應性網路21 3.2.1適應性網路的架構22 3.2.2倒傳遞學習法則23 3.2.3適應性網路控制器25 3.3適應性類神經模糊網路27 3.3.1適應性類神經模糊網路架構28 3.3.2複合式學習演算法30 3.3.3適應性類神經模糊控制器31 第四章控制系統的模擬與實行36 4.1前言36 4.2馬達速度控制36 4.2.1馬達系統簡介36 4.2.2馬達控制器設計38 4.2.3速度控制模擬結果41 4.3泵浦壓力控制48 4.3.1泵浦系統簡介48 4.3.2實驗設備及系統方塊圖50 4.3.3泵浦控制器設計51 4.3.4壓力控制結果54 第五章結論與建議61 5.1結論61 5.2建議62 參考文獻 63

    [1 ] 王進德, 蕭大全. 類神經網路與模糊控制入門. 全華科技圖書股
    份有限公司, 初版, 1994.
    [2 ] 張德隆, 洪兆慶. Fuzzy產品基礎與實例. 全華科技圖書股份有限
    公司, 初版, 1995.
    [3 ] Arbeithuber C., Jorgl H. P. and Raml, H. “Fuzzy control
    of an iron ore sintering plant”. Control Eng. Practice,
    Vol. 3, No. 12, pp. 1669-1674. 1995.
    [4 ] 蘇春木, 張孝德. 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, 初版, 1997.
    [5 ] Zhou Yi-Sheng and Lin-Ying Lai. “Optimal design for fuzzy
    controllers by genetic algorithms”. Industry
    Applications, IEEE Transactions on , Volume: 36 Issue: 1 ,
    Jan.-Feb. 2000 Page(s): 93 -97
    [6 ] Simon Haykin. Neural networks. Prentice Hall
    International, Inc. 1999.
    [7 ] Li Wei, Wu Zuowei and Janocha, H. “Automatic tuning of a
    fuzzy logic controller using neural network “.
    Proceedings of the IEEE International Conference on , 1994
    Page(s): 97 —101.
    [8 ] Jang, J.-S.R. “Self-learning fuzzy controllers based on
    temporal backpropagation “. Neural Networks, IEEE
    Transactions on , Volume: 3 Issue: 5 , Sept. 1992 Page
    (s): 714 —723.
    [9 ] 自動控制工程手冊編輯小組. 自動控制. 中國電機工程學會. 第一
    版, 1997.
    [10] Jang, J.-S.R. “ANFIS: adaptive-network-based fuzzy
    inference system”. Systems, Man and Cybernetics, IEEE
    Transactions on , Volume: 23 Issue: 3 , May-June 1993 ,
    Page(s): 665 —685.
    [11] 陳士傑. 類神經網路之模糊建模. 中央大學機械工程研究所,碩士論
    文,1996.
    [12] Cohen, M.E.; Hudson, D.L. “ANFIS: adaptive-network-based
    fuzzy inference system”. Systems, Man and Cybernetics,
    IEEE Transactions on , Volume: 23 Issue: 3 , May-June
    1993 , Page(s): 665 —685.
    [13] Chao Chun-tang, Teng Ching-Cheng. “A PD-like self-tuning
    fuzzy controller without steady-state error”. Fuzzy Sets
    and System, 1997 , Page(s): 141-154.
    [14] Malki, H.A. and Feigenspan, D. “DC motor control using
    fuzzy proportional-derivative technique”. Fuzzy
    Information Processing Society Biannual Conference, 1994.
    Industrial Fuzzy Control and Intelligent Systems
    Conference, and the NASA Joint Technology Workshop on
    Neural Networks and Fuzzy Logic, NAFIPS/IFIS/NASA ''94.,
    Proceedings of the First Interna , 1994 Page(s): 373 -374
    [15] Butkiewicz, B.S. “Steady-state error of a system with
    fuzzy controller”. Systems, Man and Cybernetics, Part B,
    IEEE Transactions on , Volume: 28 Issue: 6 , Dec. 1998 Page
    (s): 855 -860
    [16] Lee Jihong.“On methods for improving performance of PI-
    type fuzzy logic controllers”. Fuzzy Systems, IEEE
    Transactions on , Volume: 1 Issue: 4 , Nov. 1993 Page(s):
    298 -301
    [17] Jang, J.-S.R.;Chuen-Tsai Sun,“Neuro-fuzzy modeling and
    control” Proceedings of the IEEE , Volume: 83 Issue: 3 ,
    March 1995 Page(s): 378 -406
    [18] Martin T. Hagan.; Howard B. Demuth.; Mark Beale. ”Neural
    Network Design” PWS Publishing Company, 1995.
    [19] Jang, J.-S.R. ;Chuen-Tsai Sun.; Eiji Mizutani. Neuro-
    Fuzzy and Soft Computing. Prentice Hall International,
    Inc. 1997.
    [20] Tanomaru, J.; Omatu, S. “Process control by on-line
    trained neural controllers”. Industrial Electronics, IEEE
    Transactions on , Volume: 39 Issue: 6 , Dec. 1992 Page(s):
    511 -521
    [21] Bersini, H.; Nordvik, J.-P.; Bonarini, A. “A simple
    direct adaptive fuzzy controller derived from its neutral
    equivalent”. Fuzzy Systems, 1993., Second IEEE
    International Conference on , 1993 Page(s): 345 -350 vol.1.
    [22] Alturki, F.A.; Abdennour, A.B. “Neuro-fuzzy control of a
    steam boiler-turbine unit”. Control Applications, 1999.
    Proceedings of the 1999 IEEE International Conference on ,
    Volume: 2 , 1999 Page(s): 1050 -1055 vol. 2
    [23] Djukanovic, M.B.; Calovic, M.S.; Vesovic, B.V.; Sobajic,
    D.J.“ Neuro-fuzzy controller of low head hydropower
    plants using adaptive-network based fuzzy inference
    system”. Energy Conversion, IEEE Transactions on ,
    Volume: 12 Issue: 4 , Dec. 1997 Page(s): 375 -381
    [24] Franklin Gen F., Powell J.David and Abbas ami_Naeini.
    Feedback Control of Dynamic Systems. Addison-Wesley
    Publishing Company, Inc. Third Edition. 1994.
    [25] 邱勤山, 胡世平, 姜太倫, 楊建裕. 流體機械. 高立圖書有限公
    司. 第六版, 1994.

    QR CODE
    :::