Sun and Maximum Power Point Tracking Using Fuzzy Controllers via FPGA

EL-Moghany Mohammed Hamed Basil

ISBN 10: 3846508675 / ISBN 13: 9783846508671

Published by Editorial Academica Espanola, 2011

About this Item

PRINT ON DEMAND pp. 128.

Seller Inventory # 1898295098

Bibliographic Details

• Title: Sun and Maximum Power Point Tracking Using Fuzzy Controllers via FPGA
• Publisher: Editorial Academica Espanola
• Publication Date: 2011
• Language: English
• ISBN 10: 3846508675
• ISBN 13: 9783846508671
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.

About the Author

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.