Mixed H_2/H_∞ autopilot design of bank-to-turn missiles using fuzzy basis function networks

摘要

This paper presents a novel mixed Mixed H_2/H_∞ 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 Mixed H_2/H_∞ controller with weight updating laws to be applied to attenuate the effects of approximation errors and external disturbances. Moreover, the mixed Mixed H_2/H_∞ autopilot design can minimize H_2 performance criteria under a desired H∞ disturbance rejection constraint. Unlike general mixed Mixed H_2/H_∞ control problems, the proposed Mixed H_2/H_∞ 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 H∞ constraint. Therefore, the proposed H_2/H∞ control approach can be implemented efficiently. Computer simulation results are presented to illustrate the effectiveness of the proposed mixed Mixed H_2/H_∞ autopilot for BTT missiles.