TY  - JOUR
T1  - An Intelligent Controller for a non Linear Power Electronic Boost Converter
AU - , S. Joseph Jawhar AU - , N.S. Marimuthu 
JO  - International Journal of Soft Computing
VL  - 3
IS  - 1
SP  - 69
EP  - 73
PY  - 2008
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2008.69.73
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2008.69.73
KW  - ANFIS
KW  -DC-DC converter
KW  -FLC
KW  -ANN
KW  -AI
KW  -linear power boost converter
KW  -neuro fuzzy controller
AB  - This study describes the design and development of a novel controller for a non-linear power electronic converter. The Neuro-Fuzzy controller is proposed to improve the performance of the boost converter. The duty cycle of  the boost converter is controlled by Neuro-Fuzzy controller. The conventional PI  controllers for such converters designed under the  worst case condition of  maximum load and minimum line condition present a  lower loop band width and the system  response also sluggish. The common bottleneck  in fuzzy logic is the derivation of fuzzy rules and the parameter tuning for the controller. The Neural Networks have powerful learning abilities, optimization abilities and adaptation. The Fuzzy logic and Neural Networks can be integrated to form a connectionist adaptive network based Fuzzy logic controller. This integrated adaptive system modifies the characteristics of rules and the structure of the control system. This study aims to establish the superior performance of Neuro-Fuzzy controller over the conventional P I controllers and Fuzzy controllers at various operating points of the boost converter.
ER  -