Performance evaluation of two fuzzy-logic-based homing guidance schemes

Abstract

Homing guidance schemes based on fuzzy logic have been developed for a planar engagement model, with randomly jinking target maneuver and line-of-sight (LOS) rate measurement corrupted with glint noise. Two versions of fuzzy guidance schemes have been proposed, the first one using information required for proportional navigation (PN) and the second one using the information required for augmented PN (APN). The performance of the two fuzzy guidance schemes, in terms of commanded acceleration profiles and the values of the terminal miss distance, have been compared with PN and APN, respectively. It is observed that the fuzzy guidance schemes are able to match closely the performance of PN and APN guidance laws, and in cases where the measurements are noisy and the estimates are inaccurate, the fuzzy guidance schemes are shown to perform better than PN and APN.