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研究生:戴慶君
研究生(外文):Ching-Chun Tai
論文名稱:包裝膜輸送張力之PID模糊控制
論文名稱(外文):PID Fuzzy Control of the Packing Film Feeding Tension
指導教授:黃英哲黃英哲引用關係
指導教授(外文):Ying-Jeh Huang
學位類別:碩士
校院名稱:元智大學
系所名稱:電機工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:英文
論文頁數:55
中文關鍵詞:張力控制荷重元模糊化PID
外文關鍵詞:Tension controlLoad CellFuzzificationPID
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輸送張力控制系統在包裝印刷業界的應用領域非常的廣泛,例如包裝膜輸送、紙張印刷、線材輸送等。使用張力控制可以使傳輸運送中偵測其張力不至於力道過大拉斷或太過於鬆弛造成捲料密度不夠問題。本文主要是實現張力控制,加入模糊化方式將輸入訊號做訊號濾波使PID控制系統能夠有效率的方式達到很好的捲繞效果。由於捲繞的特性是非線性方式進行,其捲料是以速度PID控制,送料端是以張力控制,在捲繞系統中主要透過荷重元模組去做類比的訊號作回饋,達到整個閉迴路系統控制。在捲料材質上本文選用三種材質做控制,第一項是較脆硬的紙類捲料,第二項是韌性強為較軟的PVC抗ESD膠膜,第三項是韌性強較硬的熱縮膜材料。在不同的材質下,使用不同的速度及張力控制參數,都能控制其最佳捲繞效果。

Feeding control system is widely applied in printing package industry. For instance, such as the packaging film feeding, the paper printing and the coil stock feeding. By using the system, tensions can be detected during the transmission transportations, and therefore used to avoid fragmentation caused by tension over-strength or coil density lacking problem caused by tension looseness. This thesis is mainly emphasizing the function of the input signal which acts as signal filtering by adding the fuzzy mode into the tension control. This will allow the PID control system to obtain more effective results in winding effects. Because the winding is processed in non-linear manner, the coil material is the PID speed control, and the feeding point is the tension control. The winding system mainly works through the Load Cell module and obtains analog signals as feedbacks in order to achieve closed-loop system control. This article uses three rolling materials as the controlled substances. Each of materials has different characteristics. The first is distinguished by its paper rolling quality, and functioned as the fragile material. The second is the anti-ESD PVC film which has strong tenacity characteristics and performs as the soft material. Heat shrinking film possesses firmer tenacity and acts as the third substance. Since they are all various in characteristics, each material will use different speeds and tension control parameters in the experiment to obtain the optimal winding results.

Chinese Abstract iii
Abstract v
Acknowledgment vii
Contents viii
List of Figures xi
List of Tables xiii
Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Research objective 2
1.3 Thesis structure 2
Chapter 2 Packaging Film Tension Control System Architecture Platform 3
2.1 Packaging film tension control system architecture platform overview 3
2.1.1 Feeding Motor 3
2.1.2 Tension Sensor Load Cell 3
2.1.3 Spindle Rolling Motor Coil (Rolling Motor) 4
2.1.4 ARM7 LPC2378 analog output-input control panel (AI, AO) [9] 4
2.1.5 Main components 7
2.2 NXP LPC2328 ARM7 development platform 7
2.2.1 NXP LPC2328 ARM7 development platform 7
2.2.2 NXP LPC2328 ARM7 development platform hardware specifications 8
2.2.3 NXP LPC2328 ARM7 development platform software specifications 9
2.2.4 MCB2300 LPC2378 ARM7μVision4 operation 10
2.3 Servo motor driver control system 12
2.3.1 Servo motor driver control system 12
2.3.2 Servo driver classification function illustration 14
2.3.3 AC Servo Motor 15
2.4 Tension sensor Load Cell 16
2.4.1 Tension sensor Load Cell introduction 16
2.4.2 Tension sensor Load Cell applications 20
2.4.3 Load Cell types 21
2.4.4 Tension sensor working principles 24
2.5 Power system 24
Chapter 3 PID and Fuzzy Control 27
3.1 The concepts of Fuzzy control 27
3.2 Composition of the fuzzy logic controller 29
3.3 Implementation of fuzzy control 31
3.3.1 Data structure of fuzzy knowledge base 31
3.3.2 Fuzzy inference engine design 33
3.4 Basic principles of PID 34
3.5 Packaging film tension control system platform 36
Chapter 4 Experimental results 37
4.1 Purposes of the experiment 37
4.2 Control law 37
4.3 Experimental results 39
4.3.1 Excessive pressure of the feedback values in the Load Cell sensor 39
4.3.2 Excessive pressure of the feedback values in the Load Cell sensor in three conditions 40
4.3.3 Filtering effects of Load Cell fuzzy feedback signal 41
4.3.4 Coil axis function as source of interference and change in speed to obtain continuing control of the pressure 45
4.3.5 Before and after adding fuzzy filter into Load Cell feeding values 46
Chapter 5 Difficulties Encountered and Solutions 51
5.1 Program DEBUG 51
5.2 Filtering of tension sensor noise 51
5.3 Adjustments in tension control 51
Chapter 6 Conclusions and Feature works 52
6.1 Conclusion 52
6.2 Future works 52
References 54



[1] S. Y. Tung, Embedded ARM7 single-chip control and language implementation, Self-Institute for industrial Science Foundation, Taipei, 2009.
[2] Z. Y. Sun and Y. G. Yang, Fuzzy Control Theory, Implementation and Application (Revised Edition), Chuan Hwa Book Co., Lts., Taipei, 2005.
[3] S. Y. Tung, Design of Linear Motor Controller and Motion Control. Master thesis, Department of Electric Engineering, Yuan Ze University, 2001.
[4] Wikipedia, retrieve from http://zh.wikipedia.org/zh-tw
[5] KEIL, retrieve from http://www.keil.com/dd/docs/datashts/philips/lpc2378_ds.pdf
[6] Esense, INC. retrieve from http://esense.com.tw/lrm-load.htm
[7] Z. Y. Sun and Y. G. Yang, Fuzzy Control Theory, Implementation and Application (Revised Edition), Chuan Hwa Book Co., Lts., Taipei, 2005.
[8]C. C. Lee, “Fuzzy Logic in Control Systems: Fuzzy Logic Controller. Part I ”, IEEE Transactions on Systems, Man and Cybernetics, vol. 20 (2), pp. 404-418 ,1990.
[9] Y. L. Tai, The DSP-based fuzzy sliding mode control in a seesaw system. Master thesis, Department of Electric Engineering National Central University, 2005.
[10] L. Y. Hu, X. L. Zhu, D. Zheng, and J. M. Zhan, “Numerical Simulation of Fuzzy-PID Tension Control System Based on Rotary MRF”Damper” IHMSC ''09. International Conference on, vol. 2, pp. 133-137, 2009.
[11] C. Chen and X. Liu, “Application of Fuzzy Control in Multi-motor Tension Control System, ” International Conference on Intelligent System Design and Engineering Application, vol. 1, pp.342-346, Isdea, 2010.
[12] X. Z. Gao and S. J. Ovaska, “New fuzzy filter with application in motion control systems,” Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 3, pp. III-280 - III-285 , 1999.
[13] L. X. Wang and J. M. Mendel, “Fuzzy adaptive filters, with application to nonlinear channel equalization,” IEEE Trans. on Fuzzy Systems, vol. 1, pp. 161-170, Aug. 1993.
[14] C. C. Lee, “Fuzzy Logic in Control Systems: Fuzzy Logic Controller. Part II ”, IEEE Transactions on Systems, Man and Cybernetics, vol. 20 (2), pp. 419-435,1990.


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