A predictor-based model reference adaptive controller for aircraft with center of gravity variations

The center of gravity variations have a direct impact on the control characteristic of the plane, which makes the control system design more complicated. In order to solve this problem, this paper puts forward the predictor-based model reference adaptive controller design method. the core part of this method is composed of three axis nonlinear dynamic inversion controller. Predictor-based model reference adaptive controller is added to the system as adaptive augmentation. System defines two error signals which improve the control accuracy. Simulation results show that this method has a stronger inhibitory effect on uncertainty, it make the system track command signal very well.