Open AccessPower Grid Environment and Inductor Design for Power Loss Optimization with Boost Converter by Genetic Algorithm
Author(s) -
Lu Dong,
Fan Yang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/706/1/012022
Subject(s) - inductor , capacitor , boost converter , matlab , power (physics) , genetic algorithm , electronic engineering , computer science , control theory (sociology) , electrical engineering , mathematics , engineering , mathematical optimization , physics , voltage , control (management) , artificial intelligence , quantum mechanics , operating system
In this paper, a proposed inductor design method with toroidal powder core is presented to minimize the total power loss of boost converter. Losses in the inductor, capacitor and semiconductors are considered. The total power loss function of the boost converter as an objective function is calculated iteratively by using the genetic algorithm (GA) in MATLAB. Then the optimal core size, permeability and number of turns can be obtained, which minimize the total power loss. Finally, the experimental results verify the proposed inductor design method is feasible by comparing with the general inductor design method in an 800W boost converter operating at 50kHz.