基于自适应线性自抗扰控制的飞机防滑刹车系统重构控制

Adaptive linear active disturbance rejection control based reconfiguration control for aircraft anti-skid braking system

中文关键词  飞机防滑刹车系统  执行器故障  自适应线性自抗扰控制  BP神经网络  重构控制

英文关键词  aircraft anti-skid braking system  actuator faults  adaptive linear active disturbance rejection control  BP neural network  reconfiguration control

中文摘要

      飞机防滑刹车系统是确保飞机安全起飞、着陆和滑跑的重要航空机电系统. 除了其动力学中的强非线 性、强耦合以及参数时变外, 潜在的执行器等组件故障也会严重降低防滑刹车系统的安全性与可靠性. 为满足故障 及扰动状态下系统的性能需求, 本文提出了一种基于自适应线性自抗扰控制的飞机防滑刹车系统重构控制方法. 根据飞机防滑刹车系统的组成结构及工作原理对其进行数学建模, 并对执行器注入故障因子. 设计了自适应线性 自抗扰重构控制器, 同时分析了整个闭环系统的稳定性. 该控制器将组件故障、外部干扰以及测量噪声等视为总扰 动, 根据状态误差反馈和系统输出信息, 利用BP神经网络在线优化更新扩张状态观测器和状态误差反馈律参数, 从 而更精确地观测与补偿总扰动带来的不利影响. 最后, 在不同跑道环境下的仿真结果验证了所提出重构控制器的适 应性和鲁棒性.

英文摘要

      The aircraft anti-skid braking system (AABS) is an essential aero electromechanical system that ensures safe taking-off, landing, and taxiing of the aircraft. In addition to the strong nonlinearity, strong coupling, and time-varying parameters in aircraft dynamics, potential component faults such as actuator faults can also seriously affect the safety and reliability of AABS. In order to meet the performance requirements of the system in fault-perturbed conditions, a reconfiguration control method for AABS based on adaptive linear active disturbance rejection control is proposed in this paper. Mathematical modeling of AABS is performed based on its component structure and working principle, and a fault factor is injected into the actuator. An adaptive linear active disturbance rejection reconfiguration controller is designed, and the stability of the whole closed-loop system is analyzed. The developed controller takes component faults, external disturbance and measurement noise as the total perturbations. According to the state error feedback and system output information, the parameters of the extended state observer and the state error feedback law are optimized and updated online using BP neural networks. Thus, the adverse effects caused by the total perturbations can be more accurately observed and compensated. Finally, the simulation results in different runway environments validate the adaptability and robustness of the proposed reconfiguration controller.