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Intelligent Control for Electric Power Systems and Electric Vehicles

Autor G. Rigatos, M. Abbaszadeh, M Hamida, P. Siano
en Limba Engleză Hardback – 30 oct 2024
The present monograph offers a detailed and in-depth analysis of the topic of Intelligent Control for Electric Power Systems and Electric Vehicles. First, Nonlinear optimal control and Lie algebra-based control (Control based on approximate linearization and Global linearization-based control concepts) is analyzed. Next, 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) is treated. Following the control theoretic part Control of DC and PMBLDC electric motors (Control of DC motors through a DC-DC converter and Control of Per- manent Magnet Brushless DC motors) is presented. Besides, 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) is explained. Additionally, 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) is studied. Besides, Control of energy conversion chains based on Induction Ma- chines (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) is explained. Next, 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) is introduced, Moreover, Control of Spherical Permanent Magnet Synchronous Motors and Switched Reluctance Mo- tors (Control of spherical permanent magnet synchronous motors, Control of switched reluctance motors for electric traction and Adaptive control for switched reluctance motors) is analyzed, Furthermore, 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) is explained, Finally, 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) it treated.
  • The new control methods which are proposed by the monograph treat the control problem of the complex nonlinear dynamics of electric power systems and electric vehicles without the need for complicated state-space model transformations and changes of state variables.
  • The proposed control schemes are modular and scalable and can be applied to a large class of dynamic models of electric power systems and electric vehicles. They have a clear and easy-to- implement algorithmic part, while they also exhibit a moderate computational load.
  • The proposed control schemes foster the optimized exploitation of renewable energy sources and the reliable integration of renewable energy units in the power grid. Besides, they support the transition to electromotion and the deployment of the use of electric vehicles.
  • The manuscript is suitable for teaching nonlinear control, estimation and fault diagnosis topics with emphasis to electric power systems and to electric vehicle traction and propulsion systems both at late undergraduate and postgraduate levels.
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Specificații

ISBN-13: 9781032791906
ISBN-10: 103279190X
Pagini: 588
Ilustrații: 632
Dimensiuni: 156 x 234 mm
Greutate: 1.39 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States

Public țintă

Postgraduate and Professional Reference

Cuprins

1. Nonlinear optimal control and Lie algebra-based control 2. Differential flatness theory and flatness-based control methods 3. Fault diagnosis with model-based and model-free techniques 4. Control of DC and PMBLDC electric motors 5. Control and fault diagnosis for SG-based renewable energy systems 6. Control of VSI-fed three-phase and multi-phase PMSMs 7. Control of energy conversion chains based on distributed PMSMs 8. Control of energy conversion chains based on Induction Machines 9. Control of multi-phase machines in gas processing and power units 10. Control of spherical PM motors and switched reluctance motors 11. Control of traction and powertrains in EVs and HEVs 12. Control of renewable power units and heat management units 13. Fault diagnosis for electricity microgrids and gas processing units 14. Fault diagnosis for gas and steam-turbine power generation units 15. Fault diagnosis for wind power units and the distribution grid

Notă biografică

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.

Descriere

The contents of the present monograph on Intelligent Control for Electric Power Systems and Electric Vehicles, are outlined as follows