Observer-based incremental backstepping sliding-mode fault-tolerant control for blended-wing-body aircrafts

[摘要] This paper presents an adaptive incremental nonlinear backstepping sliding-mode (INBSM) controller, for fault tolerant tracking control of a blended wing body (BWB) aircraft with unknown disturbances and actuator faults. The INBSM controller is based on a nonlinear dynamics model of the BWB aircraft. In addition, a radial basis function neural network disturbance observer (RBF-NNDO) is proposed to enhance the disturbance attenuation ability. A fault estimator is suggested to improve actuator fault tolerant control level. The closed-loop control system of the BWB aircraft is proved to be globally asymptotically stable using Lyapunov theory. Simulations of the combined NNDO-INBSM controller are presented and compared with both the INBSM design and an adaptive fuzzy controller. The results demonstrate an improved capability of the NNDO-INBSM control for the BWB aircraft to execute realistic attitude tracking missions, even in the presence of center of gravity movement, unknown disturbances, model uncertainties and actuator faults. (c) 2021 Elsevier B.V. All rights reserved.

[发布日期] 2021-11-13

[关键词] Robust control of nonlinear system;Neural network disturbance observer;Incremental nonlinear backstepping control;Incremental nonlinear dynamic inversion;Stability augmentation control