Nonlinear Optimal Control and Differential Flatness for Renewable Energy Systems and EVs in the Smart Grid
- 1st Edition - February 1, 2027
- Latest edition
- Authors: Gerasimos Rigatos, Masoud Abbaszadeh, Pierluigi Siano, Mohamed Zribi
- Language: English
Nonlinear Optimal Control and Differential Flatness for Renewable Energy Systems and EVs in the Smart Grid covers nonlinear control and estimation for electric power systems,… Read more
Description
Description
Nonlinear Optimal Control and Differential Flatness for Renewable Energy Systems and EVs in the Smart Grid covers nonlinear control and estimation for electric power systems, electric vehicles, and the smart grid. The control and estimation methods presented are characterized by global stability and convergence proofs, which means that the function of renewable electric power systems and electric vehicles presented will be of assured performance and it can be ascertained that it will remain reliable under variable operating conditions.
In particular, this new monograph deals with the open research issues and challenges of nonlinear control based on approximate linearization and on global linearization of the associated state-space models. It also successfully addresses the quest for specialized knowledge in renewable electric power systems and in electric vehicles traction systems, bringing new findings in two areas: Firstly, nonlinear control for electric machines (synchronous and asynchronous) with application in the exploitation of renewable energy sources and in the traction system of electric vehicles, and secondly, nonlinear control of power electronics which are used for the connection of renewable energy sources to the electricity grid and for the powertrains of electric vehicles (control of AC to DC converters, control of inverters).
This book is of interest to researchers, graduate students, faculty, engineers, and other technical personnel working on control problems and estimation methods, renewable energy systems, electric vehicles, and smart grid technologies.
Key features
Key features
- Combines advanced control and fault diagnosis methods for renewable energy systems and EVs
- Draws on cutting-edge research to present novel nonlinear control methods
- Bridges the gap between theoretical aspects and control systems in renewable energy applications
Readership
Readership
Table of contents
Table of contents
2. Control and estimation for DC renewable energy systems
3. Control and estimation for distributed renewable energy systems
4. Fault diagnosis for renewable energy systems
5. Advanced control for electric vehicles (EVs) with asynchronous motors
6. Advanced control for electric vehicles (EVs) with synchronous motors
7. Advanced control for electric vehicles (EVs) with multi-phase motors
8. Fault diagnosis for the traction system and powertrains of electric vehicles (EVs)
Product details
Product details
- Edition: 1
- Latest edition
- Published: February 1, 2027
- Language: English
About the authors
About the authors
GR
Gerasimos Rigatos
Dr. Gerasimos Rigatos is currently a Research Director (Researcher Grade A') at the Industrial Systems Institute, Greece. He obtained his Ph.D. from the National Technical University of Athens (NTUA), Greece, in 2000, and was subsequently a post-doctoral researcher at IRISA-INRIA, Rennes, France. He is a Senior Member of IEEE, and a Member and CEng of IET. Dr. Rigatos has led several research cooperation agreements and projects with accredited results in the areas of nonlinear control, nonlinear filtering, and control of distributed parameter systems, and his results appear in 12 research monographs and in several journal articles. He is first author of 150 journal articles, receiving over 3,400 citations (Scopus), and is an Editor of the Journal of Information Sciences, the Journal of Advanced Robotic Systems, the SAE Journal of Electrified Vehicles, and the Journal of Power Electronics and Drives. He has held visiting professor positions at several universities in Europe.
MA
Masoud Abbaszadeh
Dr. Masoud Abbaszadeh is currently a Principal Research Engineer at the GE Vernova Research Center, NY, USA. He received his Ph.D. in Electrical and Computer Engineering from the University of Alberta, Edmonton, Canada, in 2008. From 2008 to 2011, he was a Research Engineer with Maplesoft, in Ontario, Canada, and from 2011 to 2013, he was a Senior Research Engineer at United Technologies Research Center, CT, USA, working on advanced control systems, and complex systems modelling and simulation. His research interests include estimation and detection theory, robust and nonlinear control, and machine learning with applications in cyber-physical security and resilience and autonomous systems. Dr. Abbaszadeh has authored over 170 peer-reviewed papers and 9 book chapters, holds 42 issued US patents, and has published four books. He is an Associate Editor of IEEE Transactions on Control Systems Technology, and a member of the IEEE CSS Conference Editorial Board.
PS
Pierluigi Siano
Dr. Pierluigi Siano is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management and Innovation Systems, at the University of Salerno, Italy. He received his Ph.D. degree from the University of Salerno in 2006. Since 2021 he has been a Distinguished Visiting Professor in the Department of Electrical and Electronic Engineering Science, University of Johannesburg, South Africa. His research activities are centred on demand response, energy management, integration of distributed energy resources in smart grids, electricity markets, and planning and management of power systems. Prof. Siano has co-authored more than 680 articles, with 15,240 citations (Scopus), and was a Web of Science Highly Cited Researcher in Engineering in 2019, 2020, and 2021. He is Editor for the Power and Energy Society Section of IEEE Access and several other IEEE publications, and was previously Chair of the IES TC on Smart Grids.
MZ