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研究生: Vu Quang Huy
Vu - Quang Huy
論文名稱: Dynamic modeling and control of a bending roll system using Timoshenko beam theory and model predictive control
Dynamic modeling and control of a bending roll system using Timoshenko beam theory and model predictive control
指導教授: 郭中豐
Chung-Feng Kuo
口試委員: 黃昌群
Chang-Chiun Huang
陳亮光
Liang-kuang Chen
張嘉德
Chia-Der Chang
李聯旺
Lee Lian-Wang
學位類別: 博士
Doctor
系所名稱: 工程學院 - 自動化及控制研究所
Graduate Institute of Automation and Control
論文出版年: 2011
畢業學年度: 99
語文別: 英文
論文頁數: 81
中文關鍵詞: Timoshenko beam theoryconstrained MPCeigenfunction expansionroll systemDMPCLaguerre functionprescribed degree of stabilitymultiple cylinder actuatoroil-roll actuator
外文關鍵詞: Timoshenko beam theory, constrained MPC, eigenfunction expansion, roll system, DMPC, Laguerre function, prescribed degree of stability, multiple cylinder actuator, oil-roll actuator
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Roll system is an essential and very important part of a lot of processing machines in textile industry such as processing calender and dye machines. Deflection and vibration, normally occurring in the processing-roll system, have always been large drawbacks of many industrial processes, especially, related to textile industry. Hence, this study introduced a new dynamic control system, including a bending actuator and a proposed controller to suppress vibration, compensate deflection. First, a new mathematic model of a combined-roll is obtained by using eigenfunction expansion method and Timoshenko beam theory. The combined-roll consists of inner steel and outer nylon layers to take full advantages and eliminate drawbacks of materials. Second, the multi-cylinder and oil-roll actuators were introduced for suppressing vibration and deflection. These solutions not only increase significant power of bending actuation system but also reduce transient time of dynamic response and avoid damaging outside surfaces of the rolls. Next, Discrete Model Predictive Controller (DMPC) was designed based on the obtained mathematical model to improve dynamic response performance. The constrained control was also combined with the proposed DMPC controller to obtain optimal control signal and use effective power of actuator system by opening wider operation range of system. Finally, in order to derive high output response performance and robust stability in the control system, the Laguerre function, one of discrete orthonormal function, and the prescribed degree stability were applied to the DMPC. The research results have shown that the response performance is completely higher and the control system is more stable.


Roll system is an essential and very important part of a lot of processing machines in textile industry such as processing calender and dye machines. Deflection and vibration, normally occurring in the processing-roll system, have always been large drawbacks of many industrial processes, especially, related to textile industry. Hence, this study introduced a new dynamic control system, including a bending actuator and a proposed controller to suppress vibration, compensate deflection. First, a new mathematic model of a combined-roll is obtained by using eigenfunction expansion method and Timoshenko beam theory. The combined-roll consists of inner steel and outer nylon layers to take full advantages and eliminate drawbacks of materials. Second, the multi-cylinder and oil-roll actuators were introduced for suppressing vibration and deflection. These solutions not only increase significant power of bending actuation system but also reduce transient time of dynamic response and avoid damaging outside surfaces of the rolls. Next, Discrete Model Predictive Controller (DMPC) was designed based on the obtained mathematical model to improve dynamic response performance. The constrained control was also combined with the proposed DMPC controller to obtain optimal control signal and use effective power of actuator system by opening wider operation range of system. Finally, in order to derive high output response performance and robust stability in the control system, the Laguerre function, one of discrete orthonormal function, and the prescribed degree stability were applied to the DMPC. The research results have shown that the response performance is completely higher and the control system is more stable.

ABSTRACT ACKNOWLEDGEMENTS CONTENTS LIST OF FIGURES LIST OF TABLES LIST OF SYMBOLS LIST OF ABBREVIATIONS CHAPTER 01: INTRODUCTION 1.1 Research Motivations 1.2 Literature survey 1.3 Research Objectives 1.4 Dissertation Outline CHAPTER 02: MATHEMATIC MODEL 2.1 Timoshenko beam theory 2.2 The roll with multiple layers 2.3 Free and forced response equations of motion 2.4 Forced response equations of motion of roll system with oil roll actuator 2.5 Forced response equations of motion of roll system with multi-cylinder actuator 2.6 State space models CHAPTER 03: CONTROLLER DESIGNS 3.1 The conventional discrete model predictive controller (DMPC) 3.2 The unconstrained and constrained optimal control 3.4 The DMPC with Laguerre function 3.5 The DMPC with Prescribed degree of stability CHAPTER 04: RESULTS AND DISCUSSION 4.1 Compare Timoshenko roll model and Euler-Bernoulli roll model 4.2 Investigate property multi-layer of roll 4.3 Compare the unconstrained DMPC with constrained DMPC 4.4 Compare the control force, control pressure between multi-cylinder and oil roll actuators 4.5 Compare the conventional DMPC with DMPC and Laguerre function 4.6 DMPC with prescribed stability CHAPTER 05: CONCLUSIONS REFERENCES PUBLICATIONS

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