| 引用本文: | 刘舒畅,杨忠,张钊,陈爽,张小恺.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[J].控制理论与应用,2022,39(8):1516~1528.[点击复制] |
| LIU Shu-chang,YANG Zhong,ZHANG Zhao,CHEN Shuang,ZHANG Xiao-kai.Adaptive linear active disturbance rejection control based reconfiguration control for aircraft anti-skid braking system[J].Control Theory and Technology,2022,39(8):1516~1528.[点击复制] |
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| 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 |
| 摘要点击 1703 全文点击 605 投稿时间：2021-11-10 修订日期：2022-07-16 |
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| DOI编号 10.7641/CTA.2022.11090 |
| 2022,39(8):1516-1528 |
| 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 |
| 基金项目 航空科学基金(重点实验室类)项目(201928052006, 20162852031), 南京航空航天大学研究生科研与实践创新计划项目(xcxjh20210332)资助. |
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| 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. |
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