真空开关高动作稳定性的永磁操动机构控制系统

Permanent Magnet Mechanism Control System with High Operation Stability of Vacuum Switch

基于永磁操动机构的真空开关被广泛应用在电力系统中,以确保真空开关在不同环境下操动的精度和动作时间稳定,可以有效提高电力系统的稳定性。该文首先对10kV真空开关操动机构的分合闸动态特性进行分析计算,并建立仿真实验模型;利用径向基函数(RBF)神经网络与模糊PID自适应控制相结合的技术设计算法控制器,对机构的线圈电流与位移特性进行实时检测控制;通过仿真实验证明了该控制器在提高机构动作稳定性上的可行性。搭建实验测试平台,进行合闸对比实验,未加入算法控制器时,操动机构总体合闸时间在22.7~31.8ms;加入算法控制器后,合闸时间稳定在25.5~26.1ms。同时该算法控制器将机构合闸时间分散性由原来的±1.5ms降低为±0.3ms左右,不同环境温度下分散性依然可以保持在±0.3ms左右,证明加入该控制系统后,提高了动作时间的稳定性和有效性。

Vacuum switches based on permanent magnet actuator is widely used in power systems.To ensure the accuracy and stability of operation time of vacuum switch in different environments, the stability of power system can be effectively improved. In this paper, firstly, the dynamic characteristics of 10 kV vacuum switch operating mechanism are analyzed and calculated, and the simulation test model is established. The algorithm controller is designed by combining radial basis function(RBF) neural network and fuzzy PID adaptive control technology. When the algorithm controller is not added, the overall closing time of the operating mechanism is 22.7-31.8 ms, and the closing time is stable at 25.5~26.1 ms after adding the algorithm controller. At the same time, the dispersion of closing time of the mechanism is reduced from ±1.5 ms to ±0.3 ms, and the dispersion can still be maintained at ±0.3 ms under different ambient temperatures, which proves the effectiveness of the control system in improving the stability of action time.