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This book evaluates shunt active filter (SHAF) control strategies under various source voltage conditions using a proportional-integral (PI) controller. It presents instantaneous active and reactive power (p-q) and instantaneous active and reactive current (Id-Iq) control strategies, supplying detailed simulation results. It proposes SHAF control strategies using type 1 and type 2 fuzzy logic controllers (FLCs) with different fuzzy membership functions (MFs), analyzing their harmonic mitigation and DC link voltage regulation. It also verifies the type 2 FLC-based SHAF control strategies using a real-time digital simulator.
Suresh Mikkili is currently an assistant professor and head of the Electrical and Electronics Engineering Department at the National Institute of Technology Goa, Ponda, India. He holds a Ph.D and M.Tech in electrical engineering from the National Institute of Technology Rourkela and a B.Tech in electrical and electronics engineering from the Sasi Institute of Technology and Engineering (SITE) at Tadepalligudem, India, which is affiliated with Jawaharlal Nehru Technological University, Kakinada, India. Dr. Mikkili is a professional member of the Institute of Electrical and Electronics Engineers. His research has been widely published in reputed international journals and conferences. Anup Kumar Panda is currently a professor in the Department of Electrical Engineering at the National Institute of Technology Rourkela, India. He holds a Ph.D from Utkal University, Bhubaneswar, India; M.Tech in power electronics and drives from the Indian Institute of Technology, Kharagpur; and B.Tech in electrical engineering from Sambalpur University, India. Dr. Panda is a fellow of the Institute of Engineering and Technology, UK; Institute of Engineers, India; and the Institute of Electronics and Telecommunication Engineering. He is also a senior member of the Institute of Electrical and Electronics Engineers, US. He has published more than 85 articles in journals and conferences.
Introduction. Performance Analysis of SHAF Control Strategies Using a PI Controller. Performance Analysis of SHAF Control Strategies Using Type 1 FLC with Different Fuzzy MFs. Performance Analysis of SHAF Control Strategies Using Type 2 FLC with Different Fuzzy MFs. Introduction to RT-LAB and Real-Time Implementation of Type 2 FLC-Based SHAF Control Strategies. Conclusions and Future Scope.
