Study of lower extremity exoskeleton Electronic System Fault Diagnosis Based on Immune Evolution Algorithm

Based on the complex and compact structure of lower extremity exoskeleton electronic system, a fault diagnosis model based on immune evolution algorithm is given and the design and realization method of the intelligent fault diagnosis system is also presented. According to the defects of immune algorithm that the individual diversity calculation is very complex and the vaccination is difficult, a fault calculation mechanism integrated the induction and statistic is designed, which introduced new immune operators that realized by vaccination, adjustment of diversity of every locus and immune selection. The strategies of calculating, judging and adjusting the diversity of populations by calculating the locus information entropy, the effects of control parameters, the methods of selecting and constructing a vaccine using the system information are all given. The fault diagnosis experiment results show the validity of this method based on immune algorithm, which improve speed and precision of diagnosis.