A SVM- Based Multiple Faults Classification Scheme Design in Flight Control FDI System

This paper discusses the application of the support vector machine (SVM) algorithms to the flight control fault diagnosis and isolation (FDI) system and the scheme of identifying multiple flight control system faults. Flight control system faults are established for recognizing, and the way to extract the failure data from the usual faults is presented. Based on multi-class LS-SVM, a flight control system FDI synthesis method classified these fault data for reconfiguring control system efficiently. Multi-class LS-SVM use a set of quadratic error criterions with equality constraints. Through discussing some of the differences between varieties of kernel functions, we give a solution which needs to be studied further by using fuzzy system.