Abstract: Low-voltage micro-arc machining power supply performance has a very important impact on the workpiece processing quality of low-voltage micro-arc machining. In order to improve the performance of low voltage maintenance machining power supply, a control strategy based on ant colony algorithm optimized fuzzy PID is proposed, and the simulation model of the power supply system is constructed in Simulink according to the characteristics of the discharge gap during low voltage micro-arc machining. The simulation compares and analyzes the traditional PID, fuzzy PID and ant colony optimized fuzzy algorithm control strategies, and conducts a comparison experiment of the effect of low-voltage micro-arc milling machining. The results show that the low-voltage micro-arc machining power supply based on ant colony optimization fuzzy algorithm can better cope with the various situations of the discharge gap in low-voltage micro-arc machining, and it has strong anti-interference ability and fast response speed, so as to meet the requirements of low-voltage micro-arc machining.