PI and Fuzzy Controller Utilizing PV-HESS Based Zeta Converter for BLDC Motor Drive

Abstract

Due to speedy enfeeblement of finite resources in the early modern period of development, non conventional resources of energy, are being focused in various countries to reach the growing demand of electrical energy. Increased importance of non conventional energy in the auto mobile industry needs the use of brushless DC (BLDC) motor drives to fuel solar photo voltaic (PV). To overcome the disadvantages in the conservative DC-DC converters, Zeta converters are enterprising to optimize power processing. By regulating the duty cycle of the Zeta converter through particle swam optimization (PSO) we obtain the maximum power from PV array. To mitigate changes in output of PV, the Hybrid Energy Storage System (HESS) is implemented into the PV system to maintain a continuous voltage at the BLDC motor input. The robust power management algorithm controls the PV-HESS system .By keeping the power management of maximum power point tracking the Zeta converter can meet the trouble free performance of the system. The interpretation of the BLDC motor with zeta converter relic verified using proportional integral(pi) and fuzzy logic(FL) controller. Design method and parametric analysis is carried out in MATLAB simulation and results are validated.