Mixed H-2/H-infinity autopilot design of bank-to-turn missiles using fuzzy basis function networks
This paper presents a novel mixed H-2/H-infinity autopilot design for bank-to-turn missiles. Based on sliding control theory, the proposed autopilot utilizes a fuzzy basis function network to approximate the unknown nonlinear functions of bank-to-turn missile dynamics, enabling a mixed H-2/H-infinity controller with weight updating laws to be applied to attenuate the effects of approximation errors and external disturbances. Moreover, the mixed H-2/H-infinity autopilot design can minimize H-2 performance criteria under a desired Hoc disturbance rejection constraint. Unlike general mixed H-2/H-infinity control problems, the proposed H-2/H-infinity autopilot with self-tuning fuzzy basis function network can avoid solving coupled Riccati equations by adequately selecting diagonal weighting matrices in the H-2 performance criterion and Hoc constraint. Therefore, the proposed H-2/H-infinity control approach can be implemented efficiently. Computer simulation results are presented to illustrate the effectiveness of the proposed mixed H-2/H-infinity autopilot for BTT missiles. (C) 2007 Elsevier B.V. All rights reserved.
mixed h-2/h-infinity control algorithm bank-to-turn (btt) missile fuzzy basis function (fbf)