电磁继电器作为航天系统中的一种关键器件,其性能直接影响着整个系统的可靠性.现行航天继电器的触点大多具有多组且比较紧密的特点,造成了继电器在工作过程中触点组之间相互作用,影响了继电器的退化性能.针对此问题,提出了基于吸合时间退化变量的建模方法.采用小波-卡尔曼滤波算法对模型状态进行估计,将触点组之间的相互影响用带参数的线性关系表示,并用极大似然估计进行参数更新,从而进行继电器寿命预测.通过基于PC104的继电器测试系统获取实验数据,分析验证了该算法的有效性和可行性.
The electromagnetic relay is a key device in the space system and its performance directly affects the reliability of the whole system.With multi group and close characteristics for the contacts of aerospace relays,it causes the interaction between the relay contacts in the process of working group and the degradation performance of relays.In view of this problem,a model-building of life forecasting based on pick-up time for relays was proposed,and an algorithm was presented to estimate the model state by wavelet-Kalman filter.Then the mutual influence between contacts was expressed by a linear relationship with parameters updated by using the maximum likelihood estimation,thus the life of space relays could be predicted.Finally,the effectiveness and feasibility of the proposed method were analyzed and verified by the experimental data from the relay test system based on PC104 bus.