Autonomous Electric Vehicles: Nonlinear Control, Traction, and Propulsion
Mar 2025 · Elsevier
Ebook
400
Pages
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About this ebook
Autonomous Electric Vehicles explores cutting-edge technologies revolutionizing transportation and city navigation. Novel solutions to the control problem of the complex nonlinear dynamics of robotized electric vehicles are developed and tested. The new control methods are free of shortcomings met in control schemes which are based on diffeomorphisms and global linearization (complicated changes of state variables, forward and backwards state-space transformations, singularities). It is shown that such methods can be used in the steering and traction system of several types of robotized electric vehicles without needing to transform the state-space model of these systems into equivalent linearized forms. It is also shown that the new control methods can be implemented in a computationally simple manner and are also followed by global stability proofs. - Proposes solutions for path following and localization problems of AGVs, USVs, AUVs, and UAVs, as well as solutions for the associated power supply and power management problems - Targets jointly at improved performance for the autonomous navigation system and at optimality for the power management and electric traction system of robotized electric vehicles - Presents nonlinear control, traction, and propulsion methods which ensure that minimization of energy consumption by autonomous electric vehicles is achieved under a zero-carbon imprint - Is accompanied by audiovisual material explaining the contents of the individual sections of the monograph
About the author
Dr. Gerasimos Rigatos is Research Director of the Industrial Systems Institute, Greece, specializing in nonlinear control, nonlinear estimation, and fault diagnosis for complex dynamical systems. He has held visiting professor positions at various academic institutes and is a senior member of IEEE. He received his PhD from the National Technical University of Athens in 2000 and serves as an editor for the Journal of Information Sciences, the Journal of Advanced Robotic Systems, and the Journal of Electrified Vehicles.Dr. Masoud Abbaszadeh obtained his PhD in Electrical and Computer Engineering from the University of Alberta, Canada, in 2008. He has extensive experience in control systems and cyber-physical security, working at the Maplesoft–Toyota joint research team and GE Research Center. He is currently a Principal Engineer and Technical Leader of GE, while also holding an adjunct professor position at Rensselaer Polytechnic Institute. He is an associate editor of IEEE Transactions on Control Systems Technology and has over 60 patents credited to his name.Dr. Pierluigi Siano is a Professor and the Scientific Director of the Smart Grids and Smart Cities Laboratory at the University of Salerno, Italy. His research focuses on smart grids, energy management, and power systems planning. He received his PhD from the University of Salerno in 2006 and is a distinguished visiting professor at the University of Johannesburg, South Africa. He has served as the Chair of the IES Technical Committee on Smart Grids. He is an 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.Dr. Patrice Wira received his PhD in Electrical Engineering from Université de Haute Alsace, France, in 2002. He is a Professor at the Institut de Recherche en Informatique, Mathématiques, Automatique et Signal, Université de Haute Alsace. He specializes in artificial neural networks and adaptive control systems and their applications to power electronics. He is a senior member of IEEE and serves as an associate editor for the Energy section of the Heliyon journal (Cell Press). His research interests include control and machine learning for electric power systems and power electronics.
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