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Neural Network Incremental Dynamic Inversion-Based Trajectory Tracking Control of an Aircraft with Pilot Mishandling

机译:飞行员误操作的飞机的神经网络增量动态反演基于轨迹跟踪控制

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摘要

For the problem of trajectory tracking control of a civil aircraft with pilotmishandlings and wind disturbances, a neural network based incrementalnonlinear dynamic inversion (NN-INDI) controller is proposed. Firstly, apilot model and a nonlinear dynamics model of a civil aircraft with winddisturbances are established. Secondly, the single hidden layer NN basedINDI controller is designed for fault tolerant trajectory tracking control.Comparing with the conventional dynamic inversion controller, the NN-INDIcontroller has better adaptive capability and robustness for pilot mishandling.In addition, to solve large pilot mishandlings and strong wind disturbances, apilot error observer and a wind observer are designed. Finally, two scenariosimulations of the pilot mishandlings and unknown bounded winds show thatthe proposed NN-INDI controller is feasible for robust fault toleranttrajectory tracking control even in pilot mis-operations and in the windenvironment.
机译:用于飞行员的民用飞机的轨迹跟踪控制问题Mishandlings和Wind Surfaces,基于神经网络的增量提出了非线性动态反转(NN-INDI)控制器。首先,A带风的民用飞机的试点模型和非线性动力学模型建立了干扰。其次,基于单个隐藏层NNINDI控制器专为容错轨迹跟踪控制而设计。与传统的动态反转控制器相比,NN-Indi控制器具有更好的自适应能力和飞行误操作的鲁棒性。此外,解决大型飞行员Mishandlings和强风障碍,一个设计了试验错误观察者和风观察者。最后,两种情况模拟飞行员Mishandlings和未知的有界风的模拟表明所提出的NN-Indi控制器可用于鲁棒故障容忍轨迹跟踪控制即使在飞行员误操作和风中也是如此环境。

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