Robust fault-tolerant flight path angle control

Abstract

Purpose The purpose of the paper is to design a nonlinear dynamic inversion (NDI) based robust fault-tolerant control (FTC) for aircraft longitudinal dynamics subject to system nonlinearities, aerodynamic parametric variations, external wind disturbances and fault/failure in actuator. Design/methodology/approach An uncertainty and disturbance estimator (UDE) technique is used to provide estimate of total disturbance enabling its rejection and thereby achieving robustness to the proposed NDI controller. As needed in the NDI design, the successive derivatives of the output are obtained through an UDE robustified observer making the design implementable. Further, a control allocation scheme consigns control command from primary actuator to the secondary one in the event of fault/failure in the primary actuator. Findings The robustness is achieved against the perturbations mentioned above in the presence of actuator fault/failure. Practical implications Lyapunov analysis proves practical stability of the controller–observer structure. The efficacy and superiority of the proposed design has been demonstrated through Monte-Carlo simulation. Originality/value Unlike in many FTC designs, robustness is provided against system nonlinearities, aerodynamic parametric variations, external wind disturbances and sinusoidal input disturbance using a single control law which caters for fault-free, as well as faulty actuator scenario.

Robust fault-tolerant preview control for automatic landing of carrier-based aircraft

“…In Xiao et al (2023), an adaptive fault-tolerant control scheme was designed to deal with actuator failure, which is based on the radial basis function neural network and second-order sliding mode control. To solve the problem of actuator failure, an integrated approach combining a Kalman filter, a full order observer and a fuzzy controller was proposed in Unal (2021) and Dhadekar et al (2021) designed a robust fault-tolerant controller with nonlinear dynamic inversion method.…”