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A01=G. Rigatos
A01=M HAMIDA
A01=M. Abbaszadeh
A01=P. Siano
A01=Ángel Jiménez
Age Group_Uncategorized
Age Group_Uncategorized
Author_G. Rigatos
Author_M HAMIDA
Author_M. Abbaszadeh
Author_P. Siano
Author_Ángel Jiménez
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Category1=Non-Fiction
Category=PHDY
Category=THRB
Category=THX
Category=TJF
Category=TRC
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Intelligent Control for Electric Power Systems and Electric Vehicles

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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Current price €155.79
Original price €163.99
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A01=G. RigatosA01=M HAMIDAA01=M. AbbaszadehA01=P. SianoA01=Ángel JiménezAge Group_UncategorizedAuthor_G. RigatosAuthor_M HAMIDAAuthor_M. AbbaszadehAuthor_P. SianoAuthor_Ángel Jiménezautomatic-updateCategory1=Non-FictionCategory=PHDYCategory=THRBCategory=THXCategory=TJFCategory=TRCCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 30 Oct 2024

Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032791906

About G. RigatosM HAMIDAM. AbbaszadehP. SianoÁngel Jiménez

Dr. Gerasimos Rigatos obtained his diploma (1995) and his Ph.D. (2000) both fromthe Department of Electrical and Computer Engineering of the National TechnicalUniversity of Athens (NTUA) Greece. In 2001 he was a post-doctoral researcherat IRISA-INRIA Rennes France. He is currently a Research Director (ResearcherGrade A) at the Industrial Systems Institute Greece. He is a Senior Member ofIEEE and a Member and CEng of IET. He has led several research cooperationagreements and projects which have given accredited results in the areas of nonlinearcontrol nonlinear filtering and control of distributed parameter systems. Hisresults appear in 8 research monographs and in several journal articles. Accordingto Elsevier Scopus his research comprising 135 journal articles where he is the firstor sole author has received more than 3000 citations with an H-index of 26. Since2007 he has been awarded visiting professor positions at several academic institutions(University Paris XI France Harper-Adams University College UK Universityof Northumbria UK University of Salerno Italy Ecole Centrale de NantesFrance). He is an editor of the Journal of Advanced Robotic Systems and of the SAEJournal of Electrified Vehicles.Dr.Masoud Abbaszadeh obtained a B.Sc and aM.Sc in Electrical Engineering fromAmirkabir University of Technology and Sharif University of Technology in Iranrespectively. 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 withMaplesoftWaterloo Ontario Canada as a Research Engineer. He was the principaldeveloper of MapleSim Control Design Toolbox and was a member of a researchteam working on the Maplesoft-Toyota joint projects. From 2011 to 2013 he wasa Senior Research Engineer at United Technologies Research Center East HartfordCT USA working on advanced control systems and complex systems modeling andsimulation. Currently he is a Principal Research Engineer at GE Research CenterNiskayuna NY USA. He has also held an Adjunct Professor position at RensselaerPolytechnic Institute NY USA. He has over 150 peer-reviewed papers 9 bookchapters and holds 39 issued US patents with over 40 more patents pending.. Hisresearch interests include estimation and detection theory robust and nonlinear controland machine learning with applications in diagnostics cyber-physical resilienceand autonomous systems. He serves as an Associate Editor of IEEE Transactionson Control Systems Technology and a member of IEEE CSS Conference EditorialBoard.Dr.Mohamed-Assaad Hamida was born in El Oued Algeria in 1985. He receivedthe B.Sc . degree in electrical engineering from the University of Batna Batna Algeriain 2009 the M.Sc. degree in automatic control from Ecole Nationale SuperieuredIngenieurs de Poitiers (ENSIP) Poitiers France in 2010 and the Ph.D degree inautomatic control and electrical engineering from Ecole centrale de Nantes NantesFrance in 2013. From 2013 to 2017 he was an Associate Professor of ElectricalEngineering with the University of Ouargla Algeria. In 2017 he joined the EcoleCentrale de Nantes and the Laboratory of Digital Sciences of Nantes (LS2N) as anAssociate Professor. Dr. Hamida is the local coordinator of the European project EPiCoon Electric Vehicles Propulsion and Control at Ecole Centrale of Nantes andthe head of the real-time systems unit in the same university. His research interestsinclude robust nonlinear control (higher order sliding mode backstepping adaptivecontrol optimal control) theoretical aspects of nonlinear observer design controland fault diagnosis of electrical systems and renewable energy applications. His currentresearch interests include robust nonlinear control theoretical aspects of nonlinearobserver design control and fault diagnosis of electrical systems and renewableenergy applications.Dr. Pierluigi Siano received the M.Sc. degree in electronic engineering and thePh.D. degree in information and electrical engineering from the University ofSalerno Salerno Italy in 2001 and 2006 respectively. He is Full Professor of ElectricalPower Systems and Scientific Director of the Smart Grids and Smart CitiesLaboratory with the Department ofManagement and Innovation Systems Universityof Salerno. Since 2021 he has been a Distinguished Visiting Professor in the Departmentof Electrical and Electronic Engineering Science University of Johannesburg.His research activities are centered on demand response energy management theintegration of distributed energy resources in smart grids electricity markets andplanning and management of power systems. In these research fields he has coauthoredmore than 700 articles including more than 410 international journals thatreceived in Scopus more than 19200 citations with an H-index equal to 66. Since2019 he has been awarded as a Highly Cited Researcher in Engineering by Web ofScience Group. He has been the Chair of the IES TC on Smart Grids. He is Editor forthe Power & Energy Society Section of IEEE Access IEEE Transactions on PowerSystems IEEE Transactions on Industrial Informatics IEEE Transactions on IndustrialElectronics and IEEE Systems.

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