High power supply optimization design based on BP neural network and genetic algorithm

Precision and machining efficiency are the unity of opposites, and ultimately depends on the performance indicators of pulse power supply in short electric arc machining (SEAM). In the article, power supply's neural network model using Matlab simulation data on this basis, the power supply parameters are optimized by combing with genetic algorithm based on objective weighting method to guide the power parameter changes to meet the requirements. Then, test results of simulation and tests, results show that the power supply designed by this optimization method have the advantages of stable output voltage and fast response speed, which meet the expectant targets and test requirements.