Robust autopilots based on the fuzzy model reference learning control

Abstract

Fuzzy learning algorithm of UAV is considered in this paper. It allows real time self-tuning of parameters of the controller's membership functions. The primary structure of the fuzzy controller is synthesized via “crisp” prototype based on the robust H2/H∞-optimization. It is shown that obtained control algorithm possesses high level of performance and robustness.