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Artificial Intelligence for Modeling and Control of Nonlinear Phenomena in Internal Combustion Engines Read chapter Read first chapter

2018 | OriginalPaper | Chapter

2. Non-interfering Diagnostics for the Study of Thermo-Fluid Dynamic Processes

Authors : Ferdinando Taglialatela Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco

Published in: Nonlinear Systems and Circuits in Internal Combustion Engines

Publisher: Springer International Publishing

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Abstract

The conversion of chemical energy into mechanical power, operated by internal combustion engines, involves a great number of complex phenomena that often occur in transient thermo-fluid dynamic conditions. The majority of these phenomena are affected by nonlinear dynamics, thus requiring appropriate compensation techniques. The analysis and comprehension of these nonlinear processes is a basic requirement for the design of effective control solutions, able to optimize the combustion processes in terms of engine power, efficiency, and emissions. In this chapter, we present some advanced non-interfering optical diagnostics that allow to study in detail the reasons and the effects of the nonlinear behavior of many processes occurring in internal combustion engines.

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previous chapter Artificial Intelligence for Modeling and Control of Nonlinear Phenomena in Internal Combustion Engines
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Metadata
Title
Non-interfering Diagnostics for the Study of Thermo-Fluid Dynamic Processes
Authors
Ferdinando Taglialatela Scafati
Mario Lavorgna
Ezio Mancaruso
Bianca Maria Vaglieco
Copyright Year
2018
Book
Nonlinear Systems and Circuits in Internal Combustion Engines

Print ISBN: 978-3-319-67139-0

Electronic ISBN: 978-3-319-67140-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67140-6_2

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