Research And Optimization Of Power Resonant Converter Based On Genetic Algorithms

In recent years, with the rapid progress of science, micro-electronic technologyand computer technology develop very fast .It gives more and more new request topower supply. Traditional power supply can't meet these requests. Soft-switchingtechnology can make the power supply smaller and more efficiency. Because of theadvantages, soft-switching technique came to be the hottest research direction ofpower electronics.But in soft-switch circuit, inductor and capacitor connect directly to the switchingcomponent. It make the circuit debugging became a difficult job. At current time, bothof the circuit debugging and choose of circuit component are based on experience oftechnician. However, the soft-switching circuits have many statuses. So it hard tobelieve it can be designed well only by experience, or it will cost much time. Mosttraditional circuits analyzing method can't or hard be used to solve these problemsand were not adapted to application. Genetic algorithm is the AI arithmetic that hadbeen developed, in recent years. It can analyze many engineering problems. But it justsolves some simple problems in circuit optimization field. I built the mathematicmodel of SPRC circuit firstly. And then, I improved the SGA in efficiency. At last, Ioptimized the circuit by genetic algorithm in a wide parameter range for the target ofbetter performance, smaller volume and much more reliable. The result was tested bymatlab. It proves the optimization get some good results. The method can save thetime of circuit debugging.Chapter one has introduced the background, meaning, work and innovation of thedissertation;Chapter two introduced the topology and principles of the SRC, PRC, SPRC.Build the mathematic model of SPRC and prove the result by matlab.Chapter three mainly talk about the SGA and make some improvements. Andthen I use fuzzy preferences method according to the application requirements.The final chapter presents the main data structure and functions used in theprogram and optimize the circuit by GA. At last, the result was tested by matlab.