摘要
针对永磁机构同步真空开关伺服控制性能和操作时间分散性受模糊控制策略影响的问题,采用遗传算法GA对模糊控制器的控制策略进行优化。分析永磁机构真空开关动态特性影响因素和伺服控制原理;采用遗传算法对永磁机构真空开关伺服控制模糊控制策略进行优化;在40.5 k V同步真空开关上对优化后的模糊控制器性能进行仿真和试验测试。测试结果表明,采用遗传算法对控制器模糊控制策略进行优化可以有效提高同步真空开关伺服控制性能,减少合、分闸时间分散性,为同步真空开关长期可靠运行提供保证。
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 synchro- nous vacuum switch servo control performance, reduce the scatter of opening and closing time, provide guarantee for synchronous vacu- um switch long-term reliable operation.
出处
《西华大学学报（自然科学版）》
CAS
2015年第2期73-78,共6页
Journal of Xihua University:Natural Science Edition
基金
"流体及动力机械"省部共建教育部重点实验室项目(SBZDPY-11-13
14)
基于同步开关技术的空载变压器励磁涌流抑制原理及应用研究(12209563)
西华大学研究生创新基金(ycjj201360)
关键词
同步开关
模糊控制
遗传算法
伺服控制
分散性
synchronous switch
fuzzy control
genetic algorithm
servo system control
scatter
