Optimization of Fuzzy Control Rule for Synchronous Vacuum Switch Based on Genetic Algorithm

In this paper, fuzzy control rules based on genetic algorithm(GA) are presented in order to compensate for the influence of fuzzy control rule on synchronous vacuum switch servo control performance and scatter of operating times. Firstly, the paper analyzes the influential factors of vacuum switch dynamic characteristics and servo control principle. Then the authors adopt genetic algorithm to optimize fuzzy rule of vacuum switch servo control. Finally, the optimized fuzzy control rule is tested on a 40.5 kV synchronous vacuum switch. The test results show that adopting genetic algorithm to optimize the controller fuzzy rules can effectively increase the synchronous vacuum switch servo control performance, reduce the scatter of opening and closing time, provide guarantee for synchronous vacuum switch long-term reliable operation.