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针对飞控系统故障诊断难的问题,利用最小二乘支持向量机(LS-SVM)设计了一个飞控系统传感器的故障诊断系统。仿真试验结果表明,LS-SVM具有很高的建模精度和较强的泛化能力,基于LS-SVM的故障诊断系统能对各型传感器的故障进行诊断和定位,验证了该方法的有效性和先进性。
In order to solve the problem of flight control system fault diagnosis, a fault diagnosis system of flight control system sensor was designed by using least squares support vector machine (LS-SVM). The simulation results show that LS-SVM has high modeling accuracy and strong generalization ability. LS-SVM-based fault diagnosis system can diagnose and locate the faults of various sensors and verify the effectiveness of the proposed method And advanced.