Modeling and optimal design of LLC resonant converter using whale optimization algorithm

Abstract

Resonant converter (RC) was brought under research in the 80’s widely, which can attain very small switching loss, therefore, facilitating resonant topologies to function at the high switching frequency. It is well addressed in the review that the optimal parameterization of the resonant converter is a crucial task. While the literature has come out with different methodologies, they are highly conceptual and so the uncertainty due to high theoretical impact persists. This paper intends to develop a Parameter Optimization (PO) algorithm for designing and developing of LLC-RC. The proposed algorithm overwhelms the limitation by introducing a nonconceptual model based on the simulated outcome. Specifically, the resonant current under start-up conditions is acquired from the literary outcome, and the intelligent model is constructed. Based on the proposed model, a renowned search algorithm called as Whale Optimization Algorithm (WOA) is exploited to optimize the time constant of the resonant converter, which is a critical design parameter. The objective model is derived as a function of start-up time and so the start-up time can be minimized. Moreover, the response speed of the output voltage is also increased. The proposed Whale Optimization Algorithm based Parameter Optimization (WOAPO) is compared with the conventional techniques such as IAPO, Ant Bee Colony-PO (ABC-PO), Particle Swarm Optimization- PO (PSOPO), FireFly PO (FFPO) and Grey Wolf Optimization (GWOPO). The obtained result verifies the performance of the proposed method in modeling LLC-RC system.