ファジィニューラルネットワークによる航空機の横操縦性向上

抄録

It is reported that a control augmentation system (CAS) with a fuzzy neural network (FNN) controller for an aircraft is robust against various flight conditions. This paper describes analyses of the FNN controller's internal structure, and results of performance improvement, into the simulation. We have confirmed that the FNN controller which consists of a proportional gain and an offset, minor-feedback roll angular velocity of the aircraft, similar to a stability augmentation system (SAS), and the CAS with FNN can suppress variations of time constants and gains on the aircraft's lateral motion.