运载火箭电磁阀数据采集及故障诊断系统研究

Research on the Data Acquisition System for Launch Vehicle Electromagnetic Valves

摘要:

针对运载火箭电磁阀测试问题,对运载火箭电磁阀数据采集系统展开了研究；采用了高速AD等技术,进行了电磁阀数据采集系统的硬件设计,实现了针对箭上电磁阀电流的多通道、可拓展采集；基于系统硬件进行了软件设计,完成了对硬件数据存储、数据发送等功能的控制,实现了对电磁阀通断状态的判断及电流数据特征值的分析；针对电磁阀电流的数据分析与故障诊断问题,建立了基于环境参数的电磁阀电流差分方程仿真模型,通过电流仿真模型建立求解环境参数的非线性规划模型,并采用了差分进化算法对模型进行求解；进行了电磁阀数据采集系统的多通道采集实验,验证了系统硬件采集功能及软件通断动作判断等功能的可行性；进行了电磁阀故障模拟实验,故障情况下直接相关环境参数的偏差均大于35%,而非相关参数的偏差均小于10%,验证了系统算法求解环境参数的可行性。

Abstract:

Aimed at addressing the testing challenges of launch vehicle electromagnetic valves, a comprehensive study was undertaken on the data acquisition system for these valves. Utilizing technologies such as high-speed AD, the hardware design of the electromagnetic valve data acquisition system was developed, enabling multi-channel, scalable acquisition of the current in the vehicle"s electromagnetic valves. Software design was then carried out based on the system hardware, achieving control over hardware data storage and transmission functions, and facilitating the determination of the on-off state of the electromagnetic valves along with the analysis of characteristic values of current data. To tackle the issues of data analysis and fault diagnosis of the electromagnetic valve current, a simulation model of the current differential equation based on environmental parameters was established. A nonlinear programming model for solving environmental parameters was constructed through the current simulation model, and a differential evolution algorithm was employed to solve the model. Multi-channel acquisition experiments of the electromagnetic valve data acquisition system were conducted, verifying the feasibility of the system"s hardware acquisition function and software on-off action judgment function. Electromagnetic valve fault simulation experiments were also performed, where the deviation of directly related environmental parameters under fault conditions was greater than 35%, while the deviation of non-related parameters was less than 10%, confirming the feasibility of the system"s algorithm for solving environmental parameters.