Modeling and Python Simulation of Magnetics for Power Electronics Applications

1. Auflage 2022
ISBN: 978-3-030-96767-3
Verlag: Springer International Publishing

Buch, Englisch, 214 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 547 g

This book describes the role of magnetism in electrical engineering, starting from the most basic laws of physics, converted into simulation models such that electrical engineering students can learn by example and practice. The author demystifies a topic that many electrical engineers take for granted, providing readers the tools to be able to understand how any magnetic component works. He describes magnetic components like inductors and transformers in simple understandable language. Mathematical equations related to the basic laws of physics are described in detail along with the physical significance of the equations. Every application is supported by a simulation. All simulations are performed using free and open source software based on Python making the material in this book universally accessible.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Iyer, Shivkumar V.

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise

Inhaltsverzeichnis

1 Introduction 
1.1 Why another book on magnetism?1.2 The importance of magnetism in electrical engineering1.3 Back to the basic laws of physics1.4 Learning through simulation1.5 Outline of the book
2 Presenting Basic Magnetic Circuits with Inductors 
2.1 Introduction 2.2 Revisiting the basic inductor 2.3 Inductor Model 2.4 Magnetic circuits2.5 B-H Relationship 2.6 Simulating an inductor 2.7 Simulations of an inductor2.8 Simulating an inductor with the magnetic circuit2.9 Practical cores with air-gaps and multiple limbs2.10 Conclusions
3 Simulating magnetically linked circuits 
3.1 Introduction 3.2 The concept of magnetic coupling 3.3 The nature of magnetic coupling 3.4 Mutual inductance 3.5 Approach to simulating coupled coils 3.6 Dot polarity of coupled coils 3.7 Simulating magnetically coupled coils 3.8 ´Cuk Converter3.9 Scalable mathematical models with magnetic coupling3.10 Conclusions 
4 Modeling and simulating transformers 
4.1 Introduction4.2 Background 4.3 Transformer basics 4.4 Simulating the transformer 4.5 Understanding transformer winding currents4.6 Transformer turns ratio4.7 Multi-winding transformers4.8 Conclusions 
5 Applications of transformers
5.1 Introduction5.2 Three-phase systems 5.3 Simulation model of a three-phase transformer5.4 Simulation results of three-phase transformers5.5 High frequency transformers 5.6 Flyback converter 5.7 Simulation of a flyback converter 5.8 Conclusions
6 Conclusions 
6.1 Usefulness of the book 6.2 A summary of the course contents 6.3 The difference in approach 6.4 Scope for future work
7 Bibliography

Über Autor(innen)

Shivkumar Iyer is the creator of the free and open source circuit simulator Python Power Electronics. He completed his Bachelors, Master’s and PhD in Electrical Engineering specializing in the field of power electronics. Subsequent to his PhD, he worked for five years in R&D positions in the power industry in India and Canada. He has published prolifically in international journals and conferences besides also being the author of two books “Simulating Nonlinear Circuits using Python Power Electronics” and “Digital Filter Design using Python for Power Engineering Applications” published with Springer International in 2018 and 2020 respectively.

 Shivkumar Iyer is now an independent researcher and educator. He has five online courses on MOOC platforms such as Udemy and Decibels Lab on using Python programming for electrical engineering. His courses have over two thousand students enrolled from over 90 countries in the world and some of the courses have been designated as “Bestseller” courses in the category of electrical engineering. These online courses are video courses with presentations and code-along sessions. The objective of his teaching and research are to provide universally accessible education to aspiring engineers all over the world using open source computing tools such as Python.