Nonlinear Model Predictive Control of Combustion Engines

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Details

Covers a wide range of combustion engine control problems from innovative airpath concepts to new combustion concepts
Provides readers with a systematic insight into the modeling and optimization-based control of complex combustion engine systems

Explains application examples in detail, which have been successfully implemented on real-world combustion engines and real-world vehicles tested on public roads


Autorentext

Thivaharan Albin Rajasingham received his Diploma in 2008 from the Technical University of Braunschweig (Germany) and the University of Waterloo (Canada), and his PhD in Mechanical Engineering in 2013 from RWTH Aachen University. From 2013 - 2016 he worked as a senior engineer at the Institute of Automatic Control at RWTH Aachen University. Afterwards, from 2017 - 2019, he worked as a senior researcher and lecturer at the Institute of Dynamic Systems and Control at ETH Zürich, Switzerland. In 2019 he joined Embotech AG as the head of industrial automation solutions.

In his career, Dr. Albin Rajasingham has focused on the application of nonlinear model predictive control to complex systems. He has won various prizes and has been awarded several major research grants for interdisciplinary research projects, such as spokesperson of the Research Unit 2401 "Optimization-based Multiscale Control of Low-Temperature Combustion Engines" funded by the German Research Foundation (DFG). His work has resulted in a considerable amount of publications and patents.


Inhalt
Part I: Fundamentals for Engine Control Based on Nonlinear Model Predictive Control.- Introduction.- Nonlinear Model Predictive Control.- NMPC-Based Engine Control.- Part II: Airpath Control.- Introduction to Airpath Control.- Reduced-Order Modeling.- In-Depth Case Study I: Two-Stage Turbocharging for SI Engines.- In-Depth Case Study II: Dual-Loop EGR for Compression Ignition Engines.- Part III: Combustion Control for Premixed Charge Compression Ignition Engines.- Reduced-Order Modeling.- In-Depth Case Study III: Premixed Compression Ignition Engines with Diesel-like Fuels.- In-Depth Case Study IV: Premixed Compression Ignition Engines with Gasoline-like Fuels.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030680091
    • Genre Elektrotechnik
    • Auflage 1st edition 2021
    • Sprache Englisch
    • Lesemotiv Verstehen
    • Anzahl Seiten 348
    • Größe H241mm x B160mm x T25mm
    • Jahr 2021
    • EAN 9783030680091
    • Format Fester Einband
    • ISBN 3030680096
    • Veröffentlichung 28.04.2021
    • Titel Nonlinear Model Predictive Control of Combustion Engines
    • Autor Thivaharan Albin Rajasingham
    • Untertitel From Fundamentals to Applications
    • Gewicht 688g
    • Herausgeber Springer International Publishing

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