Dragonfly Algorithm Based Fuzzy Logic Controller for Power Electronic Converter
N. Nachammai1, R. Kayalvizhi2
1N. Nachammai, Associate Professor, Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram (Tamil Nadu), India.
2Dr. R. Kayavalvizhi, Professor, Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram (Tamil Nadu), India.
Manuscript received on February 20, 2017. | Revised Manuscript received on February 25, 2017. | Manuscript published on March 05, 2017. | PP: 21-25 | Volume-7 Issue-1, March 2017. | Retrieval Number: A2953037117/2017©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Due to the time varying and switching nature of the Luo converters, their dynamic behavior becomes highly nonlinear. Conventional controllers require a good knowledge of the system and accurate tuning in order to obtain the desired performances. A fuzzy logic controller neither requires a precise mathematical model of the system nor complex computations. Swarm Intelligence [SI] is a branch of evolutionary computing that inspired by the behavior of swarms in real life to search or optimizean objective function. The Dragonfly Algorithm [DA] is a global optimization technique based on swarm intelligence. Two essential phases of optimization, exploration and exploitation, are designed by modelling the social interaction of dragonflies in navigating, searching for foods, and avoiding enemies when swarming dynamically or statistically. The drawback of fuzzy controller has the tendency to oscillate around the final operating point. Proper selection of the normalizing gains for the inputs avoids oscillations. Hence Dragonfly Algorithm, an optimization technique is required to tune the fuzzy parameters. An attempt has been made in this work to design, simulate and implement, fuzzy logic and DA-fuzzy logic controllers for regulating the output voltage. The performances of the Luo converter with Fuzzy and DA-Fuzzy controllers are evaluated under line and load disturbances using MatlabSimulink based simulation and compared. Comparison clearly shows the superiority of the proposed Dragonfly Algorithm over fuzzy controller applied for the control of Luo converter.
Keywords: Dragonfly Algorithm, Fuzzy Logic Controller, Positive Output Elementary LUO Converter