Composite adaptive posicast controller for the wing rock phenomenon in a delta-wing aircraft

Abstract

The nonlinear dynamic phenomenon like wing rock is one of the important issues in the high performance aircraft autopilot design. This phenomenon occurs in the form of constant amplitude oscillations in the roll dynamics, during the flight at high angles of attack (AOAs) and endangers carrying out the mission of an aircraft. In this paper, a composite adaptive posicast controller is designed for the wing rock phenomenon in a delta-wing aircraft with known input delay. The existence of the input delay besides the parametric uncertainties of the system dynamics adds to the complexity of the problem and can cause undesirable troubles in regulation and tracking performance or instability in the control system. Consequently, there is a need for a controller that can provide the stability and desirable regulation and tracking for the system. The proposed control method uses the system state forecasting and the composite model reference adaptive controller in an integrated control structure based on linear quadratic regulator (LQR). Combining the tracking error and the prediction error to form the adaptive laws in the composite model reference adaptive controller improves the characteristics of the system response and provides a better performance compared to the model reference adaptive controller in which the adaptive laws are formed only with the tracking error. Simulation results show the efficiency of the composite adaptive posicast controller in counteracting the system uncertainties in the presence of considerably large input delay cases.

Novel model reference adaptive control with application to wing rock example

“…Several control strategies have been applied to alleviate the wing rock oscillations presented as follows. A composite adaptive posicast controller for the wing rock control in the presence of known input delay is proposed by Yousefimanesh et al 42 The proposed method consists of composite adaptive posicast control and linear quadratic regulator (LQR) controllers. It has been shown that the LQR+MRAC controller has good tracking performance against input delay and uncertainties while LQR is not able to resist against them.…”