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研究生: 吳冠勳
Kuan-Hsun Wu
論文名稱: 應用類神經網路控制器於高分子薄膜輸送中張力均勻性與歪斜導正之研究
A Research on Tension Uniformity and Oblique Guiding of Transporting Polymer Films by Neural Network Controllers
指導教授: 黃昌群
Chang-Chiun Huang
口試委員: 邱士軒
Shih-Hsuan Chiu
郭中豐
Chung-Feng Kuo
學位類別: 碩士
Master
系所名稱: 工程學院 - 材料科學與工程系
Department of Materials Science and Engineering
論文出版年: 2013
畢業學年度: 101
語文別: 中文
論文頁數: 75
中文關鍵詞: 類神經網路控制器歪斜導正張力均勻性高分子薄膜
外文關鍵詞: NN controllers, Oblique guiding, Tension uniformity, Polymer film
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  • 高分子薄膜的生產與加工大多藉由羅拉或滾輪作為輸送的設備,在薄膜輸送過程中,張力不均勻及橫向偏移造成薄膜歪斜,對於薄膜本身及成品的品質都會有不良的影響,例如:變形、下垂(Sag)、皺紋(Wrinkle)、橫紋(Rail)、貼合不良、分條不均、收捲不齊、捲邊、印刷歪斜等。因此有必要在加工或捲取前維持張力均勻與直線輸送。本論文採用PET薄膜,並自行架設一組模擬捲取系統之三羅拉兩間距實驗機台,主要包括捲出、捲取羅拉、張力感測機構、偏移導正機構及CCD(Charge Coupled Device);應用類神經網路學習模式設計類神經網路控制器,由於張力不均勻與橫向偏移可能交互影響之數學模式甚難推導,類神經網路控制器不需推導繁複數學模式,且具強健性,可依據實際輸出與目標輸出之誤差自動調整控制器內加權值與偏權值。控制器依據即時量測之張力與橫向位置輸出適當控制訊號,藉由伺服馬達調整羅拉轉速以使張力均勻;藉由導正系統橫向移動以使薄膜歪斜矯正而能直線輸送。實驗結果證明所提出之控制器確實對薄膜輸送中之張力均勻性與歪斜導正具有良好的控制效果。


    The polymer film generally is transported by rollers in production and processing. Its nonuniform tension and oblique movement often downgrade the film itself and its products, such as deformation, sags, wrinkles, rail, poor pasting, uneven edge of slitting, wind up in irregularity, crimping, and slant on painting. Thus, it is prerequisite to maintain uniform tension and film alignment before the film enters a processing section or is in rewinding. This study aims to improve nonuniform tension and oblique movement of polymer films simultaneously. We plan to build a three-rollers and two-span setup in experiment to simulate a PET film rewinding system, mainly including a unwinder, rewinder, tension sensor, guiding roller and CCD(Charge Coupled Device). The neural network learning algorithm is applied to design the neural network controller. Since nonuniform tension and oblique movement may interact, their mathematical models are extremely difficult to derive. The neural network controller does not need a complicated mathematical model, and it’s based on the error of the actual output and the target output to adjust the weights. The tension data are acquired by the tension sensor and the lateral position of film is detected by CCD and image processing. The controller outputs a control signal to regulate the speed of the roller, driven by servo motors, to achieve uniform tension. The controller also controls a stepping motor to move the guiding roller for correcting the lateral deflection and aligning the moving film. The results reveal that the proposed controller is effective for control of the uniform tension and oblique guiding.

    目錄 摘要 I ABSTRACT II 目錄 IV 圖索引 VIII 表索引 XII 第1章 緒論 1 1.1 前言 1 1.2 研究動機與目的 2 1.3 文獻回顧 4 1.4 論文架構 8 第2章 實驗機台與設備 9 2.1 張力機構部分 11 2.1.1 交流伺服馬達 11 2.1.2 S型荷重元 12 2.1.3 荷重放大器 14 2.1.4 數位類比介面卡 (PCI-9118) 15 2.2 偏移導正機構部分 16 2.2.1 步進馬達 16 2.2.2 滾珠螺桿 18 2.2.3 電源供應器 19 2.2.4 CCD攝影機 (CV-M50) 19 2.2.5 影像擷取卡 20 2.2.6 數位類比介面卡 (PCI-8134) 21 第3章 類神經網路控制理論 23 3.1 類神經網路理論 23 3.1.1 生物的神經元模型 24 3.1.2 人工神經模型 26 3.1.3 類神經網路的基本架構 27 3.1.4 類神經網路分類 32 3.2 倒傳遞類神經網路 33 3.2.1 倒傳遞類神經網路架構 33 3.2.2 倒傳遞網路的演算法 34 3.3 類神經網路控制架構 40 3.3.1 類神經網路控制器 41 3.3.2 平行類神經控制架構 42 3.3.3 專門學習架構 43 3.3.4 間接學習架構 44 3.4 類神經網路控制器設計 45 3.4.1 倒傳遞修正演算法 46 3.4.2 類神經網路系統鑑別器 49 第4章 實驗方法與結果 51 4.1 張力部分 51 4.1.1 張力均勻性控制方法 51 4.1.2 張力感測器設計 52 4.1.3 伺服馬達與轉速關係 54 4.2 偏移部分 56 4.2.1 橫向偏移控制方法 56 4.2.2 偏移偵測設計 56 4.3 類神經網路控制系統 57 4.3.1 類神經網路鑑別器 58 4.3.2 類神經網路控制器 58 4.4 實驗結果 61 4.5 結果與討論 68 第5章 結論與建議 70 參考文獻 71

    [1] 陳克昌、莊佳橙、陳信吉,“Roll-to-Roll捲送設備技術分析”,機械工業雜誌,258期,pp. 122-136,2003。
    [2] 郭惠隆,“LCD用光學薄膜”,化工技術,第十卷第三期,pp. 182-196,2002。
    [3] 宋大成,“簡介偏光膜”,工業材料,140期,pp. 118-126,1998。
    [4] G. E. Young and K. N. Reid, “Lateral and Longitudinal Dynamic Behavior and Control of Moving Webs,” Journal of Dynamic Systems Measurement and Control, Vol. 115, pp. 309-317, 1993.
    [5] J. E. Ludwicki and R. Unnikrishnan, “Automatic Control of Unwind Tension in Film Finishing Applications,” IEEE International Conference on Industrial Electronics, Control, and Instrumentation, Vol. 2, pp. 774-779, 1995.
    [6] S. B. Choi, C. C. Cheong and G. W. Kim, “Feedback Control of Tension a Moving Tape Using an Er Brake Actuator,” Mechatronics, Vol. 7, No. 1, pp. 53-66, 1997.
    [7] T. Sakamoto and Y. Fujino, “Modelling and Analysis of a Web Tension Control System,” IEEE International Symposium on Industrial Electronics, Vol. 1, pp. 358-362, 1995.
    [8] K. Okada and T. Sakamoto, “Adaptive Fuzzy Control for Web Tension Control System,” IECON Proceedings On Industrial Electronics, Vol. 3, pp. 1762-1767, 1998.
    [9] P. D. Mathur and W. C. Messner, “Controller Development for a Prototype Hight-Speed Low-Tension Tape Transport,” IEEE Transactions on Control Systems Technology, Vol. 6, pp. 534-542, 1998.
    [10] F. L. Luo and C. Wen, “Multiple-Page Mapping Artificial Neural Network Algorithm Used for Constant Tension Control,” Expert Systems with Applications, Vol. 13, No. 4, pp. 307-315, 1997.
    [11] K. Park, H. Kim and J. H. Hwang, “Design of Adaptive Tension/Velocity Controller for Winding Processes,” IEEE International Symposium on Industrial Electronics, Vol. 1, pp. 67-72, 2001.
    [12] H. Koc, D. Knittel, M. D. Mathlin and G. Abba, “Modeling and Robust Control of Winding Systems for Elastic Webs,” IEEE Transactions on Control Systems Technology, Vol. 10, No. 2, pp. 197-208, 2002.
    [13] D. Knittel, E. Laroche, D. Gigan and H. Koc, “Tension Control for Winding Systems with Two-Degrees-of Freedom H∞ Controllers, ” IEEE Transactions on Industry Applications, Vol. 39, No. 1, pp. 113-120, 2003.
    [14] K. C. Lin, “Observer-Based Tension Feedback Control with Friction and Inertia Compensation,” IEEE Transactions on Control Systems Technology, Vol. 11, No. 1, pp. 109-118, 2003.
    [15] D. P. Campbell, “Process Dynamics,” Wiley, pp. 113-156, 1958.
    [16] J. J. Shelton and K. N. Reid, “Lateral Dynamics of an Real Moving Web,” ASME Journal of Dynamics Systems, Measurement, and Control, No. 3, pp. 180-186, 1971.
    [17] L. A. Sievers, M. J. Balas and A. V. Flotow, “Modeling of Web Conveyance System for Multivariable Control,” IEEE Transactions on Automatic Control, Vol. 33, pp. 524-531, 1988.
    [18] G. E. Young and K. N. Reid, “Lateral and Longitudinal Dynamic Behavior and Control of Moving Web,” ASME Journal of Dynamics Systems, Measurement, and Control, Vol. 115, pp. 309-317, 1993.
    [19] J. B. Yerashunas, J. A. De Abreu-Garcia and T. T. Hartley, “Control of Lateral Motion in Moving Webs,” IEEE Transactions on Control Systems Technology, Vol. 11, No. 5, pp. 684-693, 2003.
    [20] K. H. Shin, S. O. Kwon, S. H. Kim and S. H. Song, “Feedforward Control of the Lateral Position of a Moving Web Using System Identification,” IEEE Transactions on Industry Applications, Vol. 40, No. 6 , pp. 1637-1634, 2004.
    [21] K. H. Shin, S. O. Kwon, “The Effect of Tension on the Lateral Dynamics and Control of a Moving Web,” IEEE Transactions on Industry Applications, Vol. 43, No. 2 , pp. 403-411, 2007.
    [22] K. H. Narendra, K. Parthasarathy, S. H. Kim and S. H. Song, “Identification and Control of Dynamical Systems Using Neural Networks,” IEEE Transactions on Neural Networks, Vol. 1, No. 1 , pp. 4-27, 1990.
    [23] J. C. Patra, R. N. Pal, B. N. Chatterji and G. Panda, “Identification of Nonlinear Dynamic Systems Using Functional Link Artificial Neural Networks,” IEEE Transactions on System, Man and Cybernetics, Part B, Vol. 29, No. 2 , pp. 254-262, 1999.
    [24] A. M. N. Lima, J. H. F. Cavalcanti and G. S. Deep , “On-line Training of Adaptive Neural Network Controllers,” IEEE International Conference on Industrial Electronics, Control, and Instrumentation, Vol. 2, pp. 1392-1395, 1994.
    [25] J. G. Juang, L. H. Chien and F. Lin, “Automatic Landing Control System Design Using Adaptive Neural Network and Its Hardware Realization,” IEEE Systems Journal, Vol. 5, No. 2, pp.266-277, 2011.
    [26] N. A. Ebler, R. Arnason, G. Michaelis and D. Noel, “Tension Control: Dancer Rolls or Load Cells”, IEEE Transactions on Industry Applications, Vol. 29, No. 4, pp. 727-739, 1993.
    [27] 王進德編著,“類神經網路與模糊控制理論入門與應用”,全華科技圖書股份有限公司,2007。

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