Spark Ignition Engine Modeling and Control System Design: A Guide to Model-in-the-Loop Hierarchical Control...

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Amir-Mohammad Shamekhi (K. N. Toosi University of Technology, Iran) Amir Hossein Shamekhi (K. N. Toosi University of Technology, Iran)

Spark Ignition Engine Modeling and Control System Design

A Guide to Model-in-the-Loop Hierarchical Control Methodology

Amir-Mohammad Shamekhi (K. N. Toosi University of Technology, Iran), Amir Hossein Shamekhi (K. N. Toosi University of Technology, Iran)

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English

CRC Press
22 February 2023

Engineering: general; Technical design; Mechanical engineering; Environmental science, engineering & technology; Automotive technology & trades

This book presents a step-by-step guide to the engine control system design, providing case studies and a thorough analysis of the modeling process using machine learning, and model predictive control (MPC). Covering advanced processes alongside the theoretical foundation, MPC enables engineers to improve performance in both hybrid and non-hybrid vehicles.

Control system improvement is one of the major priorities for engineers seeking to enhance an engine. Often possible on a low budget, substantial improvements can be made by applying cutting-edge methods, such as artificial intelligence when modeling engine control system designs and using MPC. This book presents approaches to control system improvement at mid, low, and high levels of control. Beginning with the model-in-the-loop hierarchical control design of ported fuel injection SI engines, this book focuses on optimal control of both transient and steady state and also discusses hardware-in-the-loop. The chapter on low-level control discusses adaptive MPC and adaptive variable functioning, as well as designing a fuel injection feed-forward controller. At mid-level control, engine calibration maps are discussed, with consideration of constraints such as limits on pollutant emissions. Finally, the high-level control methodology is discussed in detail in relation to transient torque control of SI engines.

This comprehensive yet clear guide to control system improvement is an essential read for any engineer working in automotive engineering and engine control system design.

By: Amir-Mohammad Shamekhi (K. N. Toosi University of Technology Iran), Amir Hossein Shamekhi (K. N. Toosi University of Technology, Iran)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
Weight: 512g
ISBN: 9781032346120
ISBN 10: 1032346124
Pages: 172
Publication Date: 22 February 2023
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Chapter 1 Introduction Chapter 2 Control-Oriented Modeling Chapter 3 Mid-Level Controller Design: Calibration Chapter 4 Low-Level Controller Design: Fuel Injection Control Chapter 5 High-Level Controller Design: Torque Control Appendix A: A Short Review of Neural Networks Design Appendix B: A Short Review of Some Optimization Algorithms

Amir-Mohammad Shamekhi received his PhD in Automobile Control from K. N. Toosi University of Technology, Tehran, Iran, in 2021, and was chosen as the superior researcher of the Department of Mechanical Engineering. His works concern Control and Machine Learning, and their applications particularly in vehicles, about which he has published in several journal papers. Amir Hossein Shamekhi received his B.Sc. in Mechanical Engineering from Tehran University, Tehran, Iran, in 1993. Carrying on his studies, he obtained M.Sc. from K. N. Toosi University of Technology, Tehran, Iran, in 1997. Receiving his PhD in 2004, Dr. Shamekhi was the first PhD alumni of Mechanical Engineering in K. N. Toosi University of Technology, where he is currently Associate Professor in the faculty of Mechanical Engineering. His fields of study include internal combustion engines, mechatronics, and automotive transmission.