Application of Particle Swarm Optimization for output voltage regulation of dual input buck-boost converter

Abstract

Dual input DC-DC converters act as an interface between different renewable energy sources and a common load. With uncertainty looming large over the renewable energy sources, it is mandatory to control the dual input DC-DC converter to provide a constant voltage to the load. This work reports the design and development of a Particle Swarm Optimization (PSO) based strategy for estimation of optimal controller structure for output voltage regulation of Dual input Buck-Boost (DIBB) converter. Computed and measured results at different operating points of DIBB suggest that the PSO tuned feedback controller is far superior to its conventional counterpart in delivering the desired output voltage with excellent dynamic response.