当前位置: X-MOL 学术Aerosp. Sci. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Two-layer adaptive augmentation for incremental backstepping flight control of transport aircraft in uncertain conditions
Aerospace Science and Technology ( IF 5.6 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.ast.2020.106051
Dmitry I. Ignatyev , Hyo-Sang Shin , Antonios Tsourdos

Presence of uncertainties caused by unforeseen malfunctions in actuation system or changes in aircraft behaviour could lead to aircraft loss-of-control during flight. The paper presents Two-Layer Adaptive augmentation for Incremental Backstepping (TLA-IBKS) control algorithm designed for a large transport aircraft. IBKS uses angular accelerations and current control deflections to reduce the dependency on the aircraft model. However, it requires knowledge of control effectiveness. The proposed technique is capable to detect possible failures for an overactuated system. At the first layer, the system performs monitoring of a combined effectiveness and detects possible failures via an innovation process. If a problem is detected the algorithm initiates the second-layer algorithm for adaptation of effectiveness of individual control effectors. Filippov generalization for nonlinear differential equations with discontinuous right-hand sides is utilized to develop Lyapunov based tuning function adaptive law for the second layer adaptation and to prove uniform asymptotic stability of the resultant closed-loop system. Conducted simulation manifests that if the input-affine property of the IBKS is violated, e.g., in severe conditions with a combination of multiple failures, the IBKS can lose stability. Meanwhile, the proposed TLA-IBKS algorithm demonstrates improved stability and tracking performance.



中文翻译:

两层自适应增强在不确定条件下对运输机进行增量反推飞行控制

由致动系统意外故障或飞机行为改变引起的不确定性的存在可能导致飞机在飞行过程中失控。本文提出了一种针对大型运输机的两层自适应增量增量反推控制算法(TLA-IBKS)。IBKS使用角加速度和电流控制偏差来减少对飞机模型的依赖性。但是,这需要掌握控制有效性的知识。所提出的技术能够检测到过驱动系统的可能故障。在第一层,系统执行对组合有效性的监视,并通过创新过程检测可能的故障。如果检测到问题,该算法将启动第二层算法,以适应各个控制执行器的有效性。右手不连续的非线性微分方程的Filippov泛化被用于开发基于Lyapunov的第二层自适应调谐函数自适应定律,并证明了所得闭环系统的一致渐近稳定性。进行的仿真表明,如果违反了IBKS的输入仿射属性,例如,在严峻条件下,多次失败的结合,IBKS可能会失去稳定性。同时,提出的TLA-IBKS算法展示了改进的稳定性和跟踪性能。进行的仿真表明,如果违反了IBKS的输入仿射属性,例如,在严峻条件下,多次失败的结合,IBKS可能会失去稳定性。同时,提出的TLA-IBKS算法展示了改进的稳定性和跟踪性能。进行的仿真表明,如果违反了IBKS的输入仿射属性,例如,在严峻条件下,多次失败的结合,IBKS可能会失去稳定性。同时,提出的TLA-IBKS算法展示了改进的稳定性和跟踪性能。

更新日期:2020-07-01
down
wechat
bug