Optimal Design Of High-Power Electronic Transformer

With the rapid development of the SMPS (Switching Mode Power Supply), high power SMPS has become the direction of the research and development trend. Electronic transformer is an important component in the SMPS, and its influence on the performance of the SMPS become increasingly important with higher power level. Thus the optimal design of high power transformer is quite important to the life and reliability of the SMPS.The objectives of optimal design of high power transformer are minimal size and maximal efficiency of the transformer. A novelty optimal method is presented in this paper. The working principle and circuit structure of the SMPS are introduced firstly. The Full Bridge Converter is adopted frequently in high power SMPS. The core materials are analyzed in detail and three materials (Silicon Steel, Amorphous Metal, Amorphous Ultra-crystallite Alloy) were adopted in designs. The coil loss model is introduced at electronic situation considering skin effect and proximity effect. The nature of the optimal design of electronic transformer is the multi-objective optimization problem. The traditional design method has some faults. The NSGA-II (Non-dominated Sort Genetic Algorithm) is an effective algorithm to solve the multi-objective optimization problem. The selection operator of the NSGA-II is improved to increase the population diversity and better the Pareto solutions. The electronic transformers are optimized by improved NSGA-II. The2D and3D objective functions are simulated in Pareto solutions. The Pareto solutions are compared with the traditional design results and proves that this optimal design method based on improved NSGA-II is correctness and superiority. The temperature field, electric field, leakage inductance and distributed capacitance of the electronic transformer are simulated by ANSYS. The simulated results prove that this optimal design method is reasonable and significant.