목차

Chapter 1 Introduction 1
1.1. Research background and motivation 1
1.2. Problem address 3
1.2.1. EGR and VGT system control 3
1.2.2. Common rail pressure control 8
1.2.3. Transient emission control 9
1.3. Related works 12
1.3.1. Approaches of EGR and VGT control 12
1.3.2. Approaches of common rail pressure control 14
1.3.3. Control strategy to reduce transient PM emissions 15
1.4. Objectives and scope 17
1.4.1. Decentralized multivariable control for the HP-EGR and VGT system 18
1.4.2. Coordinated common rail pressure control 18
1.4.3. Fuel injection parameter adaptation to reduce transient PM emission 19
1.5. Outline 20
Chapter 2 Experimental setup 21
2.1. Target engine 21
2.2. Configuration of the EGR and VGT systems 22
2.3. Configuration of common rail fuel injection system 24
2.4. Experiment apparatus 25
Chapter 3 Static gain model based SISO feedback control algorithm for EGR and VGT systems 29
3.1. Overview 29
3.2. Linear parameter varying model of EGR and VGT systems with a new scheduling parameter 30
3.2.1. SISO plant analysis 30
3.2.2. Static gain model of EGR and VGT system 35
3.3. Gain scheduled feedback controller with the static gain model 42
3.4. Experimental results 47
3.4.1. EGR control algorithm 47
3.4.2. VGT control algorithm 56
3.5. Summary 66
Chapter 4 Multivariable control of EGR and VGT systems with model-based dynamic decoupler 68
4.1. Overview 68
4.2. MIMO plant analysis 69
4.3. Model-based dynamic decoupler 73
4.4. Equivalent transfer function for designing feedback controllers 77
4.5. Experimental results 82
4.6. Summary 93
Chapter 5 Coordinated common rail pressure control algorithm using two actuators: pressure control valve and metering unit 94
5.1. Overview 94
5.2. Analysis of the common rail system 95
5.3. Controller structure and control objective 99
5.4. Pressure wave reduction algorithm using metering unit 101
5.5. Quantitative feedback theory (QFT) based robust pressure regulation algorithm 103
5.6. Experimental result 109
5.7. Summary 118
Chapter 6 Adaptation algorithm of EGR and fuel injection parameters for reducing transient emission and enhancing drivability 119
6.1. Overview 119
6.2. Model based injection limitation strategy 121
6.3. Burned gas rate adaptation algorithm 126
6.4. Rail pressure adaptation algorithm 130
6.5. Synthesis of the adaptation algorithms 135
6.6. Summary 147
Chapter 7 Conclusions and Outlook 148
7.1. Conclusions 148
7.2. Outlook 154
Appendix A. Estimation of intake burned gas rate 155
Bibliography 159