Research Journal of Engineering and Technology

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Development of Computational Fuzzy Controller for Smooth Speed Tracking Buck Converter Fed DC Motor


Affiliations
1 Department of Electrical and Electronics Engineering, Sathyabama University, Chennai, Tamilnadu, India
2 Department of Electrical and Electronics Engineering, S.A. Engineering College, Chennai, Tamilnadu, India
     

   Subscribe/Renew Journal


In this paper, a fuzzy-genetic approach based controller for a buck converter is designed and modelled in Matlab/Simulink. Proposed controller uses a Takagi-Sugeno type fuzzy logic controller to regulate output dc voltage and a hysteresis current controller to force the input current to track a reference. Optimal values of fuzzy logic controller are determined by genetic algorithm. To indicate the steady state and transient performance, some simulation results are presented.

Keywords

Fuzzy Logic Controller (FLC), Buck Converter (BC), Genetic Algorithm (GA), Integral Absolute Error (IAE), Direct Current (DC).
Subscription Login to verify subscription
User
Notifications
Font Size


Abstract Views: 182

PDF Views: 1




  • Development of Computational Fuzzy Controller for Smooth Speed Tracking Buck Converter Fed DC Motor

Abstract Views: 182  |  PDF Views: 1

Authors

M. Ranjani
Department of Electrical and Electronics Engineering, Sathyabama University, Chennai, Tamilnadu, India
P. Murugesan
Department of Electrical and Electronics Engineering, S.A. Engineering College, Chennai, Tamilnadu, India

Abstract


In this paper, a fuzzy-genetic approach based controller for a buck converter is designed and modelled in Matlab/Simulink. Proposed controller uses a Takagi-Sugeno type fuzzy logic controller to regulate output dc voltage and a hysteresis current controller to force the input current to track a reference. Optimal values of fuzzy logic controller are determined by genetic algorithm. To indicate the steady state and transient performance, some simulation results are presented.

Keywords


Fuzzy Logic Controller (FLC), Buck Converter (BC), Genetic Algorithm (GA), Integral Absolute Error (IAE), Direct Current (DC).