Solar energy is viewed as clean and renewable source of energy for the future. So the use of Photovoltaic systems has increased in many applications. This book presents two major approaches; sun tracking and maximum power point tracking. The controller used in this book is (FLC). Two fuzzy logic controllers are fabricated on modern FPGA card (Spartan-3AN, Xilinx Company, 2009) to increase the energy generation efficiency of tracking controller. Sun tracking generating power system is designed and implemented in real time. The proposed sun tracking controller, and the proposed maximum power point tracking controller for grid-connected photovoltaic system are tested using Matlab/Simulink program with graphical user interface (GUI), the results show that both controllers have a good responses. The fuzzy controller design using FPGA technology should help shed some light on this new and exciting method and should be especially useful to professionals in control and solar energy fields. This book is designed for the professional and academic audience interested primarily in applications of fuzzy logic in engineering and technology.
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Dr. Basil Hamed received his PhD (Fuzzy Control System) from NMSU, USA. His fields of interest are Control Systems, Fuzzy Control, and FPGA. Mohammed EL-Moghany: received B.S and M.S degrees in electrical engineering from Islamic University of Gaza, in 2002 and 2011 respectively. His current researches are solar energy, and fuzzy logic controllers.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Solar energy is viewed as clean and renewable source of energy for the future. So the use of Photovoltaic systems has increased in many applications. This book presents two major approaches; sun tracking and maximum power point tracking. The controller used in this book is (FLC). Two fuzzy logic controllers are fabricated on modern FPGA card (Spartan-3AN, Xilinx Company, 2009) to increase the energy generation efficiency of tracking controller. Sun tracking generating power system is designed and implemented in real time. The proposed sun tracking controller, and the proposed maximum power point tracking controller for grid-connected photovoltaic system are tested using Matlab/Simulink program with graphical user interface (GUI), the results show that both controllers have a good responses. The fuzzy controller design using FPGA technology should help shed some light on this new and exciting method and should be especially useful to professionals in control and solar energy fields. This book is designed for the professional and academic audience interested primarily in applications of fuzzy logic in engineering and technology. 128 pp. Englisch. Seller Inventory # 9783846508671
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hamed BasilDr. Basil Hamed received his PhD (Fuzzy Control System) from NMSU, USA. His fields of interest are Control Systems, Fuzzy Control, and FPGA. Mohammed EL-Moghany: received B.S and M.S degrees in electrical engineering from . Seller Inventory # 5495497
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Solar energy is viewed as clean and renewable source of energy for the future. So the use of Photovoltaic systems has increased in many applications. This book presents two major approaches; sun tracking and maximum power point tracking. The controller used in this book is (FLC). Two fuzzy logic controllers are fabricated on modern FPGA card (Spartan-3AN, Xilinx Company, 2009) to increase the energy generation efficiency of tracking controller. Sun tracking generating power system is designed and implemented in real time. The proposed sun tracking controller, and the proposed maximum power point tracking controller for grid-connected photovoltaic system are tested using Matlab/Simulink program with graphical user interface (GUI), the results show that both controllers have a good responses. The fuzzy controller design using FPGA technology should help shed some light on this new and exciting method and should be especially useful to professionals in control and solar energy fields. This book is designed for the professional and academic audience interested primarily in applications of fuzzy logic in engineering and technology.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch. Seller Inventory # 9783846508671
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Solar energy is viewed as clean and renewable source of energy for the future. So the use of Photovoltaic systems has increased in many applications. This book presents two major approaches; sun tracking and maximum power point tracking. The controller used in this book is (FLC). Two fuzzy logic controllers are fabricated on modern FPGA card (Spartan-3AN, Xilinx Company, 2009) to increase the energy generation efficiency of tracking controller. Sun tracking generating power system is designed and implemented in real time. The proposed sun tracking controller, and the proposed maximum power point tracking controller for grid-connected photovoltaic system are tested using Matlab/Simulink program with graphical user interface (GUI), the results show that both controllers have a good responses. The fuzzy controller design using FPGA technology should help shed some light on this new and exciting method and should be especially useful to professionals in control and solar energy fields. This book is designed for the professional and academic audience interested primarily in applications of fuzzy logic in engineering and technology. Seller Inventory # 9783846508671
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Taschenbuch. Condition: Neu. Sun and Maximum Power Point Tracking Using Fuzzy Controllers via FPGA | In Solar Array Systems | Basil Hamed (u. a.) | Taschenbuch | 128 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846508671 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 106785914
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