Nonlinear adaptive sliding mode tracking control of an airplane with wing damage

Abstract

This paper investigates a dual-timescale autopilot for a wing-damaged airplane applying nonlinear adaptive sliding mode approach. The adaptive flight control strategy is used to track outer-loop angle commands while accommodating wing damage effect. Two distinct adaptive sliding mode control strategies are designed for the inner- and outer-loop dynamics. The airplane nonlinear model is developed considering center of gravity shift and aerodynamic changes due to the asymmetric wing damage. The performance of the proposed nonlinear adaptive sliding mode controller is evaluated through numerical simulation on NASA generic transport model and is compared with two adaptive algorithms: model reference adaptive control and a robust adaptive control strategy. The results demonstrate that the proposed control law achieves closed-loop stability in the presence of wing damage and accelerometers bias, and also provides satisfactory tracking performance.

Nonlinear L1 adaptive control of an airplane with structural damage

“…The properties of the proposed nonlinear adaptive controller are compared with an MRAC strategy, 26 a robust MRAC, 27 and previous effort in control of a damaged aircraft. 21 All simulation results are evaluated on nonlinear dynamics of GTM considering linear models for actuators dynamics along with saturation and rate limit.…”

“…The estimates of failure-related parameters in L 1 adaptive scheme quickly converge and the adaptive controller is able to remove the roll disturbance induced by asymmetric lift due to damage. The performance of the proposed L 1 controller is also compared with the adaptive sliding mode controller strategy 21 which is the authors' recent work. According to Figures 12 and 13, the L 1 controller performance is faster and therefore more desirable comparing the sliding mode adaptive algorithm in presence of wing damage.…”

“…The performance of the proposed controller is verified by comparing the results with a model reference adaptive control (MRAC) strategy, 26 a robust MRAC, 27 and the results of previous effort in controller design for wing-damaged airplane. 21 Robust and fast adaptation is the primary advantage of the L 1 adaptive controller while achieving desirable performance in both transient and steadystate response. 28,29 Substantial variations and fast changing uncertainties in the system dynamics can be compensated due to high adaptions rates of L 1 adaptive algorithm.…”

“…In Shtessel et al., 20 a two-time scale reconfigurable sliding-mode flight controller is proposed that accomplishes robust tracking of command angles of an airplane in presence of damage. In Asadi and Bagherzadeh, 21 two distinct adaptive sliding mode control strategies are designed for the inner- and outer-loop dynamics of a wing damaged airplane. The controller tracks the outer-loop angle commands in presence of wing damage effect.…”

Attitude-Orbit Cooperative Control for Small-Scale Spacecraft with Chemical Propulsion: Adaptive Sliding Mode Control Based on Neural Network

“…Email: liukeping@ ccut.edu.cn Zhang et al 2017). SMC is an effective method for nonlinear, uncertain, and external disturbances (Asadi and Bagherzadeh 2018). SMC was designed to investigate the problem of attitude stabilization for a spacecraft system in the presence of unknown external disturbances (Zhao and Jia 2016;Giri 2019;Zhu et al 2011).…”