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Control and FDI for Electric Power Systems and EVs

Two Volume Set
Media-Kombination
800 Seiten
2024
CRC Press
978-1-032-86470-9 (ISBN)
259,95 inkl. MwSt
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The contents of the first monograph on Intelligent Control for Electric Power Systems and Electric Vehicles, are outlined as follows: Chapter 1 is on Nonlinear optimal control and Lie algebra-based control (Control based on approximate linearization and Global linearization-based control concepts). Chapter 2 is on Differential flatness theory and flatness-based control methods (Global linearization-based control with the use of differential flatness theory and Flatness-based control of nonlinear dynamical systems in cascading loops). Chapter 3 is on Control of DC and PMBLDC electric motors (Control of DC motors through a DC-DC converter and Control of Permanent Magnet Brushless DC motors). Chapter 4 is on Control of VSI-fed three-phase and multi-phase PMSMs (Nonlinear optimal control VSI-fed three-phase PMSMs and Nonlinear optimal control VSI-fed six-phase PMSMs). Chapter 5 is on Control of energy conversion chains based on PMSMs (Control of wind-turbine and PMSM-based electric power unit and Control of a PMSM-driven gas-compression unit).Chapter 6 is on Control of energy conversion chains based on InductionMachines (Control of the VSI-fed three-phase induction motor, Control of an induction motor-driven gas compressor and Control of induction generator-based shipboard microgrids). Chapter 7 is on Control of multi-phase machines in gas processing and power units (Control of gas-compressors actuated by 5-phase PMSMs and Control of 6-phase induction generators in renewable energy units). Chapter 8 is on Control of Spherical Permanent Magnet Synchronous Motors and Switched Reluctance Motors (Control of spherical permanent magnet synchronous motors, Control of switched reluctance motors for electric traction and Adaptive control for switched reluctance motors). Chapter 9 is on Control of traction and powertrains in Electric Vehicles and Hybrid Electric Vehicles (Control of multi-phase motors in the traction system in electric vehicles and Control of synchronous machines and converters in power-chains of hybrid electric vehicles). Chapter 10 is on Control of renewable power units and heat management units (Control of residential microgrids with Wind Generators, Fuel Cells and PVs and Control of heat pumps for thermal management in electric vehicles).
In the second monograph on Fault diagnosis for electric power systems and electric vehicles, the following issues are analyzed: Chapter 1 is on Fault diagnosis with model-based and model-free techniques (Model-based fault diagnosis techniques and Model-free fault diagnosis techniques). Chapter 2 is on Control and fault diagnosis for Synchronous Generator-based renewable energy systems (Control of the marine-turbine and synchronous-generator unit and Fault diagnosis of the marine-turbine and synchronous-generator unit). Chapter 3 is on Fault diagnosis for electricity microgrids and gas processing units (Fault diagnosis for electric power DC microgrids and Fault diagnosis for electrically actuated gas compressors). Chapter 4 is on Fault diagnosis for gas and steam-turbine power generation units (Fault diagnosis for the gas-turbine and Synchronous Generator electric power unit). Finally, Chapter 5 is on Fault diagnosis for wind power units and the distribution grid (Fault diagnosis for wind power generators and Fault diagnosis for the electric power distribution grid).

Dr. Gerasimos Rigatos obtained his diploma (1995) and his Ph.D. (2000) both from the Department of Electrical and Computer Engineering, of the National Technical University of Athens (NTUA), Greece. In 2001 he was a post-doctoral researcher at IRISA-INRIA, Rennes, France. He is currently a Research Director (Researcher Grade A’) at the Industrial Systems Institute, Greece. He is a Senior Member of IEEE, and a Member and CEng of IET. He has led several research cooperation agreements and projects which have given accredited results in the areas of nonlinear control, nonlinear filtering and control of distributed parameter systems. His results appear in 8 research monographs and in several journal articles. According to Elsevier Scopus his research comprising 135 journal articles where he is the first or sole author, has received more than 3000 citations with an H-index of 26. Since 2007, he has been awarded visiting professor positions at several academic institutions (University Paris XI, France, Harper-Adams University College, UK, University of Northumbria, UK, University of Salerno, Italy, Ecole Centrale de Nantes, France). He is an editor of the Journal of Advanced Robotic Systems and of the SAE Journal of Electrified Vehicles. Dr.Masoud Abbaszadeh obtained a B.Sc and aM.Sc in Electrical Engineering from Amirkabir University of Technology and Sharif University of Technology, in Iran, respectively. Next, he received a Ph.D. degree in Electrical Engineering (Controls) in 2008 from the University of Alberta, Canada. From 2008 to 2011, he was with Maplesoft,Waterloo, Ontario, Canada, as a Research Engineer. He was the principal developer of MapleSim Control Design Toolbox and was a member of a research team working on the Maplesoft-Toyota joint projects. From 2011 to 2013, he was a Senior Research Engineer at United Technologies Research Center, East Hartford, CT, USA, working on advanced control systems, and complex systems modeling and simulation. Currently he is a Principal Research Engineer at GE Research Center, Niskayuna, NY, USA. He has also held an Adjunct Professor position at Rensselaer Polytechnic Institute, NY, USA. He has over 150 peer-reviewed papers, 9 book chapters, and holds 39 issued US patents, with over 40 more patents pending.. His research interests include estimation and detection theory, robust and nonlinear control, and machine learning with applications in diagnostics, cyber-physical resilience and autonomous systems. He serves as an Associate Editor of IEEE Transactions on Control Systems Technology, and a member of IEEE CSS Conference Editorial Board. Dr.Mohamed-Assaad Hamida was born in El Oued, Algeria, in 1985. He received the B.Sc . degree in electrical engineering from the University of Batna, Batna, Algeria, in 2009, the M.Sc. degree in automatic control from Ecole Nationale Superieure d’Ingenieurs de Poitiers (ENSIP), Poitiers, France, in 2010, and the Ph.D degree in automatic control and electrical engineering from Ecole centrale de Nantes, Nantes, France, in 2013. From 2013 to 2017, he was an Associate Professor of Electrical Engineering with the University of Ouargla, Algeria. In 2017, he joined the Ecole Centrale de Nantes and the Laboratory of Digital Sciences of Nantes (LS2N), as an Associate Professor. Dr. Hamida is the local coordinator of the European project EPiCo on Electric Vehicles Propulsion and Control at Ecole Centrale of Nantes and the head of the real-time systems unit in the same university. His research interests include robust nonlinear control (higher order sliding mode, backstepping, adaptive control, optimal control), theoretical aspects of nonlinear observer design, control and fault diagnosis of electrical systems and renewable energy applications. His current research interests include robust nonlinear control, theoretical aspects of nonlinear observer design, control, and fault diagnosis of electrical systems and renewable energy applications. Dr. Pierluigi Siano received the M.Sc. degree in electronic engineering and the Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He is Full Professor of Electrical Power Systems and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department ofManagement and Innovation Systems, University of Salerno. Since 2021 he has been a Distinguished Visiting Professor in the Department of Electrical and Electronic Engineering Science, University of Johannesburg. His research activities are centered on demand response, energy management, the integration of distributed energy resources in smart grids, electricity markets, and planning and management of power systems. In these research fields, he has coauthored more than 700 articles including more than 410 international journals that received in Scopus more than 19200 citations with an H-index equal to 66. Since 2019 he has been awarded as a Highly Cited Researcher in Engineering by Web of Science Group. He has been the Chair of the IES TC on Smart Grids. He is Editor for the Power & Energy Society Section of IEEE Access, IEEE Transactions on Power Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, and IEEE Systems.

Vol 1

Preface
Author
Chapter 1
Chapter 2 Differential flatness theory and flatness-based control methods
Chapter 3 Control of DC and PMBLDC electric motors
Chapter 4 Control of VSI-fed three-phase and multi-phase PMSMs
Chapter 5 Control of energy conversion chains based on distributed
PMSMs
Chapter 6 Control of energy conversion chains based on Induction Machines
Chapter 7 Control of multi-phase machines in gas processing and power
units
Chapter 8 Control of spherical PMmotors and switched reluctancemotors
Chapter 9 Control of traction and powertrains in EVs and HEVs
Chapter 10 Control of renewable power units and heat management units
Epilogue
Glossary
References
Index

Vol 2

Preface
Author
Chapter 1 Fault diagnosis with model-based and model-free techniques
Chapter 2 Fault diagnosis for SG-based renewable energy systems
Chapter 3 Fault diagnosis for electricity microgrids and gas processing
units
Chapter 4 Fault diagnosis for gas and steam-turbine power generation
units
Chapter 5 Fault diagnosis for wind power units and the distribution grid
References
Index

Erscheint lt. Verlag 30.10.2024
Zusatzinfo 1 Tables, black and white; 473 Line drawings, black and white; 473 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Themenwelt Naturwissenschaften Physik / Astronomie
Technik Elektrotechnik / Energietechnik
Technik Umwelttechnik / Biotechnologie
ISBN-10 1-032-86470-2 / 1032864702
ISBN-13 978-1-032-86470-9 / 9781032864709
Zustand Neuware
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