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 |
相關次數: | 點閱:242 下載:2 |
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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.
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