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

Spark Ignition Engine Modeling and Control System Design

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

• Gebundenes Buch

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 172
• Erscheinungstermin: 22. Februar 2023
• Englisch
• Abmessung: 229mm x 152mm x 13mm
• Gewicht: 382g
• ISBN-13: 9781032346120
• ISBN-10: 1032346124
• Artikelnr.: 66266777

Autorenporträt

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.

Inhaltsangabe

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