Control and FDI for Electric Power Systems and EVs

Name: Control and FDI for Electric Power Systems and EVs
Price: 4013 SEK
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Two Volume Set

AvGerasimos Rigatos,Masoud Abbaszadeh

2024

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Beskrivning

Intelligent Control for Electric Power Systems and Electric VehiclesProposes new control methods that 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 also foster the optimized exploitation of renewable energy sources and the reliable integration of renewable energy units in the power grid. It focuses on intelligent control techniques applicable to a wide range of electric motor systems and energy conversion units.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.Fault Diagnosis for Electric Power Systems and Electric VehiclesOffers a detailed and in-depth analysis of the topic of fault diagnosis for electric power systems and electric vehicles. It develops new fault detection and isolation methods which are addressed to a wide class of nonlinear dynamic systems, with emphasis on electric power systems and electric vehicles. Model-free fault detection and isolation methods are analyzed, processing raw data with neural networks and nonlinear regressors to create fault-free models, while statistical tests on the residuals provide objective criteria for failures; these new methods, incorporating statistical procedures for defining fault thresholds, enable early diagnosis and reveal incipient changes in monitored system parameters.Key Features: Offers timely and state-of-the-art insight on nonlinear control, nonlinear estimation and fault diagnosis for electric power systems and for electric traction and propulsion systems.Analyzes new methods of nonlinear control and offers valuable resources for researchers tackling control problems in these domains. Contains fault detection and isolation approaches that have been developed in the new monograph which can be used by researchers carrying out work on condition monitoring and fault diagnosis problems.Equips skilled technical personnel and engineers with advanced control and fault diagnosis methods, enabling them to optimize electric power systems and traction systems while addressing complex challenges in power electronics and propulsion systems.

Produktinformation

Utgivningsdatum:2024-10-30
Höjd:156 x 234 x undefined mm
Vikt:1 850 g
Språk:Engelska
Antal sidor:800
Förlag:Taylor & Francis Ltd
EAN:9781032864709

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Mer om författaren

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 Nantes,France). 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 an M.Sc in Electrical Engineering fromAmirkabir 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 withMaplesoft,Waterloo, 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 Hartford,CT, USA, working on advanced control systems, and complex systems modeling andsimulation. Currently he is a Principal Research Engineer at GE Research Center,Niskayuna, 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 control,and 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, Algeria,in 2009, the M.Sc. degree in automatic control from Ecole Nationale Superieured’Ingenieurs de Poitiers (ENSIP), Poitiers, France, in 2010, and the Ph.D degree inautomatic control and electrical engineering from Ecole centrale de Nantes, Nantes,France, 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.

Innehållsförteckning

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 IndexVol 2Preface 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