基于永磁操动机构的同步关合关键技术的研究  

Research on Key Technologies of PMA Based Synchronous Switching

作　　者：谢将剑[1] 李鹏[1] 崔国荣[1] 

机构地区：[1]北京交通大学电气工程学院,北京100044

出　　处：《高压电器》2010年第7期1-7,共7页High Voltage Apparatus

基　　金：国家自然科学基金资助项目(60674013)

摘　　要：介绍了同步关合技术的工作原理,对影响永磁操动机构开关的同步关合关键技术——参考信号的过零点精确检测和动作分散性的减少分别进行分析。利用FIR滤波的方法提取参考信号的过零点,通过仿真结果可以看出,该方法对于受干扰信号过零点的提取有较高的精确度,并提出实际采样过程中应用线性插值法得到过零点。分析得出引起开关动作时间分散性的因素主要包括操动机构动作时间的分散性、控制信号的分散性和预击穿的影响,应用BP神经网络和自适应算法补偿实时环境(温度和控制电压)下的操动时间可减小操动机构分散性,选取高精度的电子器件可减小控制信号的分散性。同时还推导出预击穿电压和操动机构分散性以及绝缘强度下降率(RDDS)的关系,为同步关合的实际操作提供理论依据。The principle of synchronous switching was introduced,and the key technologies of PMA based synchronous switching accurate zero-crossing detection of reference signal and reduction of switching time dispersion were analyzed. FIR filter was used to detect the zero-crossing of the reference signal. Simulation result shows high accuracy in detecting zero-crossing of disturbed signal with FIR filter. In actual sampling,the zero-crossing can be detected through linear interpolation. The analysis indicates that the switching time dispersion is affected by such factors as action time dispersion of actuator,control signal dispersion,and pre-breakdown. Adopting BP neural network and adaptive algorithm to compensate the actuating time in real-time environment （temperature and control voltage） can reduce the actuator＇s dispersion; using highly accurate electronic elements will reduce the dispersion of control signal. The relation among the pre-breakdown voltage,the actuator＇s dispersion,and the rate of decrease of dielectric strength（RDDS）is deduced to provide a theoretical basis for application of synchronous switching.

关 键 词：同步关合技术 永磁操动 BP神经网络 预击穿 FIR滤波 

分 类 号：TM564[电气工程—电器]