臺灣博碩士論文加值系統

現在的社會中，只要提到跟塑膠成品有相關的機器，想必大家第一個都會想到射出成型機，目前最快、最方便也是最普遍的塑膠原料處理機，從工業電子產品到民生必需品如杯子和吊飾等，都是經由射出成型機製造出，而產品的品質則和控制的精準度息息相關。
就目前工業技術而言，射出成型機的控制已相當成熟，無論是油壓式或是全電式，都在一定的水準之上，而就目前而言，最大的瓶頸仍然是保壓的部分，由於壓力曲線深深影響著產品的品質好壞，所以壓力的追蹤仍是現在許多人研究的課題，而本篇論文即運用模糊控制與PID控制來做比較，並模擬出兩種控制法則下的射出段保壓表現。

If we talk about the plastic, most people will have an impression on the injection molding machine in the modern society. It is the fastest, most convenient and popular machine to manufacture the plastic products. From the industrial use to people’s daily use, most plastic products are manufactured by the injection molding machine. The quality of the product has relations with the accuracy of the controller.
The injection molding technology has already developed for so many years. Whether the all-electric or hydraulic machinery, the performance is up to the standard. Nowadays the major problem about the injection molding machine is tracking the holding pressure profile. The holding pressure profile relates to the quality of the product a lot. In this paper, I use the fuzzy and the PID control law are used and compared to track the pressure profile.

ABSTRACT XI
TABLE OF CONTENTS XII
LIST OF FIGURE XIII
LIST OF TABLES XV
LIST OF TABLES XV
CHAPTER 1 INTRODUCTION 1
1.1 BACKGROUND AND MOTIVATION 1
1.2 LITERATURE REVIEW 2
1.3 THESIS ARRANGEMENT 2
CHAPTER 2 GENERAL DESCRIPTION OF INJECTION MOLDING MACHINE 4
2.1 INTRODUCTION OF INJECTION MOLDING MACHINE 4
2.2 TYPES OF INJECTION MOLDING MACHINE 4
2.3 INTRODUCTION OF INJECTION MOLDING COMPONENTS AND PROCESS 8
2.3.1 Description of Injection Molding Components 8
2.3.2 Introduction of Injection Molding Process 9
CHAPTER 3 CONTROLLER DESIGN 15
3.1 INTRODUCTION OF PID CONTROL 15
3.2 INTRODUCTION OF FUZZY CONTROL 16
3.3 PID CONTROLLER DESIGN 20
3.4 FUZZY CONTROLLER DESIGN 20
CHAPTER 4 RESULTS AND INSTRUMENTS OF SIMULATION 26
4.1 SIMULATION INSTRUMENT 26
4.2 SIMULATION RESULTS ON MATLAB 27
4.3 DISCUSSION 44
CHAPTER 5 CONCLUSIONS AND FUTURE WORK 46
5.1 CONCLUSIONS 46
5.2 FUTURE WORK 47
REFERENCE 48

[1]J.M. Berg, V.R. Voller, “An Identification and Control Strategy For a Liquid Composite Molding Process”, Applied Mathematical Modelling, v 22, n 4-5, Apr-May, 1998, p 207-218.
[2]T. C. Bulgrin, Thomas H. Richards, “The Application of Advanced Control Theory to Enhance Molding Machine Performance”, IEEE, Transactions on Industry Applications, v 31, n 6, Nov-Dec, 1995, p 1350-1357.
[3]R. Ziemba, “Use Of A Programmable Logic Controller (PLC) For Temperature, Position, Velocity and Pressure Control Of Injection Molding Machinery”, IEEE, Conference Record of Annual Conference of Electrical Engineering Problems in the Rubber and Plastics Industries, 1989, p 12-19.
[4]D. Giancola, “Expert Response Compensation For Injection Process Controls”, IEEE, Conference Record of Annual Conference of Electrical Engineering Problems in the Rubber and Plastics Industries, Apr, 1991, p 21-23.
[5]B. Ribeiro, “Fault Detection in a Thermoplasic Injection Molding Process using Neural Networks”, Proceedings of the International Joint Conference on Neural Networks, v 5, 1999, p 3352-3355.
[6]趙子敬, “A Model-Based Virtual Sensing Approach for Injection Molding Process”, 國立中正大學機械系碩士論文, 2003
[7]“射出成型機手冊-使用者指引”, 塑膠世界雜誌社, 1997.
[8]程啟正, “Modulized Real-Time Control Technology for Injection Molding Machines”, 國立清華大學/動力機械工程研究所碩士論文, 2000.
[9]廖福聲, “Control System Design And Implementation of an Electric Injection Molding Machine”, 國立中興大學電機工程學系碩士論文, 2002.
[10]蔡智善, “The Development of Thin Film Sensory Arrays for On-Line Monitoring of Injection Molding Process Automation”, 國立中正大學電機工程研究所碩士論文, 2002.
[11]張堅浚, “具伺服泵之射出成型機動態模式與實驗研究”, 國立成功大學機械工程研究所碩士論文, 1991.
[12]向殿政男, 劉天祥, 佟中仁, Fuzzy理論入門, 中國生產力中心, 1990.
[13]E. M. Mamdani, “Application of Fuzzy Algorithms for Control of Simple Dynamic Plant”, Proc. IEE, Vol. 121, no. 12, 1974, pp. 1585-1588.
[14]C. C. Lee, “Fuzzy logic in control system: Fuzzy logic controller, Part I”, IEEE Trans. Syst., Man, Cubern., Vol. SMC-20, pp. 404-418, 1990.
[15]C. C. Lee, “Fuzzy logic in control system: Fuzzy logic controller, Part II”, IEEE Trans. Syst., Man, Cubern., Vol. SMC-20, pp. 419-435, 1990.
[16]H. T. Nguyen, C. W. Tao, W. E. Thompson, “An Empirical Study of Robustness of Fuzzy System”, Proc. Of 2nd IEEE Intl. Conf. On Fuzzy System, pp. 1340-1345.
[17]H. X. Li, H. B. Gatland, “Conventional Fuzzy Control and Its Enhancement”, IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, Vol. 26, No. 5, 1996.
[18]J. G. Ziegler, N. B. Nichlos, “Optimum settings for automatic controllers”, Trans. ASME, 1942.
[19]王文俊, “認識fuzzy第二版”, 全華科技圖書股份有限公司, 2001.
[20]L. A. Zadeh, “Fuzzy Sets”, Information and Control, Vol. 8, pp. 338-353, 1965.
[21]張碩, “自動控制系統”, 鼎茂圖書出版有限公司, 2001.