|Control Surface Faults Neural Adaptive Compensation Control for Tailless Flying Wing Aircraft with Uncertainties
Shaojie Zhang*, Weifang Shuang, and Qingkai Meng
International Journal of Control, Automation, and Systems, vol. 16, no. 4, pp.1660-1669, 2018
Abstract : "A neural adaptive compensation tracking control scheme considering the prescribed tracking performance
bound is proposed for a flying wing aircraft with control surface faults, actuator saturation and uncertainties
of aerodynamic parameters. Second-order command filters are introduced to avoid the saturation of the actuators,
prescribed performance bound strategy is designed to characterize the convergence rate and maximum overshoot
of the tracking error, uncertainties of aerodynamic parameters are approximated by online RBF neural networks,
and control allocation law is designed to reduce the coupling of the flight dynamics. The closed-loop control law is
given based on adaptive backstepping compensation control scheme, and the stability of the closed-loop system is
proved by Lyapunov based design. Simulation results are given to illustrate the effectiveness of the proposed neural
adaptive compensation control scheme."
"Command filter, fault tolerant control, flying wing aircraft, neural network, prescribed performance bound."
Download PDF : Click this link