Nonlinear Systems and Circuits in Internal Combustion Engines (eBook)

Dr. Eng. Ferdinando Taglialatela Scafati got a Master degree in Chemical Engineering at the University of Naples “Federico II” in 2001. In 2002 he joined STMicroelectronics working as a researcher in the Soft Computing Group - Corporate R&D. In this period he focused his activities on the design of models for Automotive systems and on the use of soft cmputing techniques for IC Engine Control. In 2005 he moved to the Automotive Group of STMicroelectronics where he currently works. Here he is involved in the design, implementation and validation of engine control systems for traditional and innovative power trains. He is a Member of Technical Staff of STMicroelectronics as recognized expert in the field of electronic control of power train system and engine management. He is author of several patents and publications in peer review journals, and he collaborates with several original equipment manufacturers, universities and international research centers.Mario Lavorgna was born June 26th, 1957 in Rome, Italy. He got a Master degree in Physics in 1982 at the University of Naples, Federico II. Until 1987 he worked as a researcher in General Relativity and Cosmology at the University of Naples, Federico II, publishing several scientific papers in international scientific journals. Since 1987 he has worked at STMicroelectronics, where he drives R&D activities in advanced microelectronic applications, including fuzzy logic, neural networks, soft computing methodologies in different application areas: consumer, industrial, robotics, automotive. He is currently in charge of mass market system and application for the Automotive Group at STMicroelectronics in Naples, Italy, developing electronic control solutions for the next generation of power trains, cooperating with key original equipment manufacturers and international research centers. He is author of several patents, technical books and scientific papers.Dr. Ezio Mancaruso holds a Ph.D., having graduated in Mechanical Systems Engineering, is a researcher of the National Research Council (CNR) and worked at the Istituto Motori (IM). Principal areas of activity were fluid dynamics, thermodynamics and combustion in diesel engines and fuel-engine interaction. Ezio focused his research activity on the application of the optical diagnostics and advanced combustion sensor to study in-cylinder phenomena and to develop new control system for ICE.In particular, he carried out intense experimental research in fluid dynamics, injection and combustion fields of the ICE using optical diagnostics as well as in the application of advanced sensors like accelerometer and ionization current system to diesel engines. He is experienced as a reviewer for several ISI-listed journals. He is co-author of more than 100 publications both in peer-reviewed journals and book chapters. He is responsible scientist for work pages in the EU, and coordinator and responsible scientist on several projects.As Director of Research Bianca Maria Vaglieco oversees several engine laboratories. She is involved in several activities related to the experimental and theoretical study of the thermo-fluid-dynamic process in reciprocating internal combustion engines. Her main activity concerns the experimental investigation of fundamental physical and chemical processes occurring in CI and SI engines by means of non intrusive diagnostics such as innovative sensors and optical systems. She has developed advanced non-intrusive optical diagnostics for analyzing chemical and physical phenomena in the cylinder and exhaust in order to contribute to the improvements of engine performance and emission. She is author of more than 340 papers including peer-reviewed journal papers, book chapters and international conferences and patents.

Preface 6
Contents 9
About the Authors 11
1 Artificial Intelligence for Modeling and Control of Nonlinear Phenomena in Internal Combustion Engines 13
1.1 Neural Networks Architectures for Engine Applications 13
1.2 Use of ANNs for Modeling and Control of Internal Combustion Engines 17
1.2.1 Air–Fuel Ratio Prediction and Control 17
1.2.2 Use of Neural Networks to Predict Combustion Pressure Parameters 25
References 29
2 Non-interfering Diagnostics for the Study of Thermo-Fluid Dynamic Processes 32
2.1 Air Motion 33
2.2 Mixture Preparation 34
2.3 Combustion 37
2.4 Pollutants Formation 41
References 42
3 Modeling of Particle Size Distribution at the Exhaust of Internal Combustion Engines 44
3.1 Particulate Matter Emissions in Engines 45
3.2 Real-Time Prediction of Particle Sizing at the Exhaust of a Diesel Engine 51
References 55
4 Diagnosis and Control of Engine Combustion Using Vibration Signals 58
References 65
5 Use of in-Cylinder Pressure and Learning Circuits for Engine Modeling and Control 66
5.1 Cylinder Pressure Analysis and Extraction of Parameters for Engine Combustion Diagnosis and Control 67
5.2 Use of Learning Algorithms in Pressure-Based Engine Controls 70
5.3 Use of Combustion Pressure Signal for Cylinder Air Charge Estimation 70
5.4 Engine Knock Detection and Control Using in-Cylinder Pressure Measurement 75
References 80
6 Identification and Compensation of Nonlinear Phenomena in Gasoline Direct Injection Process 83
References 87
Index 88