
Optimal PI Parameters Tuning for a DC-DC Boost Converter
Author(s) -
Brahim Boussaid,
Abdelkader Harrouz,
Djamel Benmenine,
Fadila Tahiri,
Fatiha Bekraoui
Publication year - 2021
Publication title -
algerian journal of renewable energy and sustainable development
Language(s) - English
Resource type - Journals
ISSN - 2710-849X
DOI - 10.46657/ajresd.2021.3.2.11
Subject(s) - control theory (sociology) , particle swarm optimization , settling time , overshoot (microwave communication) , pid controller , photovoltaic system , controller (irrigation) , nonlinear system , boost converter , voltage , power (physics) , computer science , engineering , control engineering , control (management) , step response , temperature control , physics , algorithm , telecommunications , agronomy , electrical engineering , quantum mechanics , artificial intelligence , biology
This paper designs a nonlinear PI-type controller for the robust control of a boost DC-DC converter using a particle swarm optimization (PSO) algorithm for increasing the output voltage of the photovoltaic (PV) system. In addition, the PI controller is used to tracking the maximum power from the PV panel, at different atmospheric condition. For tuning PI controllers is a tedious work and it is difficult to tune the PI gains optimally due to the nonlinearity. This paper presents an approach to use the particle swarm optimization algorithm to design the optimal PI controllers. The Simulations results show that the proposed controller exhibits better behavior in terms of settling time and overshoot and better performance of the converter.