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研究生: 劉邦煜
Liu, Bong-Yu
論文名稱: 混成系統建模與模擬之研究
Modeling and Simulating Hybrid Systems
指導教授: 謝成
Hsieh, Chen
譚俊豪
Tarn, Jiun-Haur
學位類別: 碩士
Master
系所名稱: 工學院 - 航空太空工程學系
Department of Aeronautics & Astronautics
論文出版年: 2005
畢業學年度: 93
語文別: 英文
論文頁數: 74
中文關鍵詞: 模擬建模混成系統
外文關鍵詞: Modeling, Simulation, Hybrid Systems
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  •   由於數位科技的快速進步,目前許多複雜的系統,例如飛機、車輛等,皆是由軟體來進行控制的工作。傳統上,此類的系統在發展的時候大多仰賴工程師的經驗來進行不同次系統的整合。此法往往造成系統缺陷要在最後階段才能發現並進行除錯工作,造成發展上的困難。新的系統發展方式利用整合的系統發展工具來幫助工程師進行開發。此類的系統發展工具核心功能為混成系統整合建模與模擬環境。此環境提供不同次系統的發展人員同一個發展平台,各次系統可在此環境下進行整合,系統缺陷也可及早發現,並進行除錯。
      本研究即針對如何建立此一整合建模與模擬環境進行研究。從簡略介紹混成系統開始,進而討論如何針對混成系統特性。了解此系統的性質後則進一步進行建模與模擬工作。建模與模擬工作是利用一受到廣泛使用的軟體工具配合其延伸發展軟體套件來建立其建模與模擬環境。除建立此一環境之外,本研究以設計汽車之適應性定速控制系統為例,展現此一整合建模與模擬環境在開發混成系統時所能提供的功能,並且針對系統進行性能分析。最後則給出結論以及未來進行進一步研究之方向。

      In order to develop hybrid system efficiently, new development processes driven by structured systems requirements are used at each stage. A unified tool which connects each stage seamlessly is the backbone for these processes. An integrated modeling and simulation environment is the key function of such tool. We combine Simulink with Stateflow for such purpose. Provided with the environment, the design of a hybrid system, an automobile adaptive cruise control system, is taken as a study case. The research demonstrates that each design phase can be integrated coherently with the aid of the environment. Also, the effects of different subsystems on the whole system can be verified conveniently through simulation. Hence such environment is a must for research and development of hybrid systems.

    ABSTRACT IN CHINESE i ABSTRACT viii ACKNOWLEDGMENTS ix CONTENTS x LIST OF FIGURES xii CHAPTER 1 INTRODUCTION 1 1.1 Background and Motivation 1 1.2 Thesis Overview 2 CHAPTER 2 Hybrid Systems 3 2.1 Definition of Hybrid Systems 3 2.2 Hybrid Phenomena 6 2.3 Decomposition of Hybrid Systems 7 2.4 Modeling and Simulating Hybrid Systems 8 2.4.1 Modeling Hybrid Systems 8 2.4.2 Simulating Hybrid Systems 9 CHAPTER 3 An Integrated Modeling and Simulation Environment for Hybrid Systems11 3.1 Foundations of an Integrated Modeling and Simulation Environment 11 3.2 Simulink with Stateflow as an Integrated Modeling and Simulation Environment for Hybrid Systems 11 3.2.1 Simulink 12 3.3.2 Stateflow 12 3.3.3 The Interface between Simulink and Stateflow 13 CHAPTER 4 Modeling the Case Study System 15 4.1 Overview of the Adaptive Cruise Control System 15 4.1.1 Problem Formulation 15 4.1.2 Modes of Operation 16 4.1.3 Scenario 16 4.1.4 Models of the Adaptive Cruise Control System 17 4.2 Vehicle Models 17 4.2.1 Powertrain System 17 4.2.2 Vehicle and Environment 19 4.2.3 Actuators 21 4.3 Sensors 22 4.3.1 Regular Sensors on a General Car 22 4.3.2 Radar 22 4.4 Control System 22 4.4.1 Controller Architecture 23 4.4.2 Controller Design 26 CHAPTER 5 Simulating the Case Study System and Result Discussions 33 5.1 Simulation Bachground 33 5.2 Simulation Results of Different Controllers 34 5.2.1 The Cruise Control Controller 34 5.2.2 The Adaptive Cruise Control Controller 34 5.3 Signal Quality’s Effects on the Controllers’ Performance 35 5.4 Discrete Subsystems Dynamics’ Effects on the Case Study System 36 CHAPTER 6 Conclusions and Future Work 38 REFERENCES 40

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