Open AccessSolar Powered Battery Charging System Using Optimized PI Controller for Buck Boost converter
Author(s) -
D. Sivamani,
D. Shyam,
A. Nazar Ali,
K. Premkumar,
S. Narendiran,
Albert Alexander Stonier
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1055/1/012151
Subject(s) - control theory (sociology) , buck converter , pid controller , pulse width modulation , controller (irrigation) , ćuk converter , boost converter , voltage , total harmonic distortion , computer science , forward converter , buck–boost converter , transient response , matlab , engineering , electrical engineering , control engineering , temperature control , control (management) , agronomy , artificial intelligence , biology , operating system
The basic framework for tuning Genetic Algorithm (GA) is to bring the system to stable condition with proportional Integral controller for DC-DC converter (Buck -Boost Converter) which is applied to PV source. Due to its non-linear characteristics, the performance of the controller needs to be improved in order to improve its efficiency. The gating pulses of the converter uses Pulse Width Modulation (PWM) technique in order to reduce its THD level. The main purpose of PI controller is to bring down the large values of instabilities in the system response and to reduce steady state error which in turns improves the gain and accuracy. Genetic Algorithm (GA) is a search algorithm to solve optimization problems. The controller parameters are optimized to produce reasonable transient response without affecting the stable operation. Output voltage magnitude of DC–DC converter is either greater than or lesser than the input voltage magnitude. Variable DC voltage from PV panel is applied to DC – DC converter to get constant DC output voltage. The modelling of the Proposed system is modelled using MATLAB/SIMULINK and its results are verified.