Adaptive fuzzy gain scheduling in guidance system design

A dynamic backpropagation training algorithm for an adaptive fuzzy gain sch eduling feedback control scheme was developed. This novel design methodolog y uses a Takagi-Sugeno fuzzy system to represent the fuzzy relationship bet ween the scheduling variables and controller parameters (Takagi, T., and Su geno, M., "Fuzzy Identification of Systems and Its Applications to Modeling and Control," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 15, No. 1, 1985, pp, 116-132). Direct realistic extension applicable to the gu idance system design is introduced, This application relates to terminal gu idance design for guided missiles. Mach number, altitude, and time to go ar e used as measured, time-varying exogenous scheduling variables injected in to the guidance law. Results from homing-loop simulations show that the pre sented approach offers better terminal guidance performance than the conven tional proportional navigation guidance design, that is, less control effor t and a smaller miss distance.