
PV-Hess Based Zeta Converter for BLDC Motor Drive using Fuzzy Logic Controller
Author(s) -
Pudi Roja Ramani*,
Sheik Mahaboob Shariff,
M. N. V. Venkata Brahmam
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7828.019320
Subject(s) - control theory (sociology) , duty cycle , photovoltaic system , controller (irrigation) , computer science , maximum power point tracking , converters , fuzzy logic , boost converter , control engineering , voltage , engineering , electrical engineering , control (management) , inverter , artificial intelligence , agronomy , biology
The growing importance of non conventional energy in the auto mobile industry needs the use of brushless DC (BLDC) motor drives the solar photo voltaic (PV). To overcome the disadvantages in the conservative DC-DC converters, Zeta converter is used to optimize power handling through controlling of duty cycle. To mitigate changes in output of PV, the Hybrid Energy Storage System (HESS) is implemented into the PV system to maintain a constant voltage at the BLDC motor input. The PV-HESS system is controlled correctly by a robust power management algorithm. The Zeta converter can meet the smooth performance of the system by using particle swarm optimization technique of maximum power point tracking. By placing set of rules in the FLC controller we get the system stability faster than existed controller. The performance of the fuzzy logic controller built was demonstrated in terms of atmospheric condition changes using MATLAB/ Simulink