Abstract
The aircraft anti-skid braking system (AABS) is an essential aero electromechanical system to ensure safe take-off, landing, and taxiing of aircraft. In addition to the strong nonlinearity, strong coupling, and time-varying parameters in aircraft dynamics, the faults of actuators, sensors, and other components can also seriously affect the safety and reliability of AABS. In this paper, a reconfiguration controller-based adaptive fuzzy active-disturbance rejection control (AFADRC) is proposed for AABS to meet increased performance demands in fault-perturbed conditions as well as those concerning reliability and safety requirements. The developed controller takes component faults, external disturbance, and measurement noise as the total perturbations, which are estimated by an adaptive extended state observer (AESO). The nonlinear state error feedback (NLSEF) combined with fuzzy logic can compensate for the adverse effects and ensure that the faulty AABS maintains acceptable performance. Numerical simulations are carried out in different runway environments. The results validate the robustness and reconfiguration control capability of the proposed method, which improves AABS safety as well as braking efficiency.
Highlights
An aircraft anti-skid braking system (AABS) with good performance is an important guarantee for the successful completion of flight missions [1]
The conventional PID + PBM control [3] method does not work well on runways with disturbances, and the aircraft suffers from low-speed slippage [4,5]. In response to these problems, many control schemes proposed by researchers have been widely applied in the field of AABS, such as mixed slip deceleration PID control [6], backstepping dynamic surface control [7], optimal fuzzy control [8], self-learning fuzzy sliding mode control [9], 4.0/)
The proposed reconfiguration control method is a remarkable control strategy compared to previous methods for four reasons: (i). It is a robust control strategy, in which the AABS model is extended with a new state variable. This state variable is the sum of all unknown dynamics and disturbances that are not noticed in the fault-free plant description, and it is estimated online using the designed extended state observer (ESO), which indirectly simplifies the model to a significant extent
Summary
An aircraft anti-skid braking system (AABS) with good performance is an important guarantee for the successful completion of flight missions [1]. This paper attempts to design a reconfiguration controller for AABS to meet the higher performance requirements in fault conditions as well as those concerning demands related to reliability and safety. Motivated by the above observations, in this paper, a reconfiguration controller-based adaptive fuzzy active-disturbance rejection control (AFADRC) has been developed for AABS subject to various component faults. It is a robust control strategy, in which the AABS model is extended with a new state variable This state variable is the sum of all unknown dynamics and disturbances that are not noticed in the fault-free plant description, and it is estimated online using the designed extended state observer (ESO), which indirectly simplifies the model to a significant extent.
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