控制面故障下的飞机运动建模与重构控制能力分析及设计

对控制面故障影响飞机运动的机理进行了推导，系统地阐述了控制面故障下的飞机运动建模方法。在建模的基础上，对故障系统的可重构性进行研究。分别从线性系统运动和物理运动两个方面，给出了可重构能力的评定方案。推导了误差反向传播的前向神经网络用于控制系统设计时满足Lyapunov稳定性的学习算法，提出了一种新型的采用反向传播神经网络补偿常规控制器的重构飞行控制设计方案。采用非线性飞机运动模型对控制器进行了仿真，验证了重构飞行控制器的性能。

Aircraft Movement Modelling under Control Surface Failure and Analysis and Design of Reconfigurable Flight Control

The mechanism that the control surface failure affects the movement of aircraft is investigated, and the movement modelling under control surface failure is systemically expounded. The reconfigurability of the faulted system is researched based on modelling. Two methods are introduced to assess the level of reconfigurability. One is deduced from linear system theory, and the
other is defined from the opinion of physical movement. The learning algorithm of propagation forward neural network which is adopted in control system design is proved. In this propagation forward neural network,  the error is back propagating. A novel architecture of reconfigurable flight control that introduces back propagation neural network to compensate the normal controller is proposed. Simulation on the controller with nonlinear aircraft movement model shows the reconfigurable control system operates well.