基于粒子群优化算法的伺服系统测试点优选策略研究

Test Points Optimization Strategy Research for Antenna Servo System Based on PSO

摘要:

针对某型雷达天线伺服系统测试点多,故障诊断需测试较多测试点而导致的故障诊断时间长,效率低的问题,提出了一种基于粒子群优化的测试点优选方法。该方法首先基于系统所需的故障诊断率和所能容忍的故障虚警率构建目标优化函数,其次利用粒子群算法对目标函数进行优化以选择最少的测试点完成故障定位和诊断。该方法避免了对所有测试点的测试,节省了测试时间,可在最短的时间内完成测试点的优选。仿真实验验证了算法的有效性。

Abstract:

There are many test points in radar antenna servo test system. These many test points lead to the long test time, which causes the low fault diagnosis efficiency. To solve this problem, a test points optimization method based on PSO is researched. The object function is constructed with the needed fault diagnosis probability and fault false alarm probability. Then the PSO algorithm is used to find the least test points. This method avoids the test of all the test points, save the test time and could finish the test points detection in shorter time. Simulation experiment validates the availability of this algorithm.