飞机-驾驶员闭环系统模糊预见控制器设计

针对驾驶员操纵延迟和飞机不确定性所导致的人-机系统跟踪性能降低的问题，提出一种基于T-S模糊模型的鲁棒预见辅助驾驶方法。建立驾驶员-飞机时滞不确定T-S模糊模型，引入预见控制思想补偿驾驶员延迟，以跟踪误差和驾驶员操纵负担为性能指标，将存在模型不确定性的人-机指令跟踪问题转化为模糊最优保性能控制问题，并推导了该凸优化所应满足的线性矩阵不等式。为克服预见步数增多引起增广系统维数较大、进而导致线性矩阵不等式不易求解的缺陷，设计了一种次优的预见控制器。最后，分别通过驾驶员模型仿真和飞行模拟器实验，验证了所设计的模糊预见控制器的有效性。

Fuzzy Preview Controller Design for Aircraft-pilot Closed Loop System

A robust preview assistant operation method based on a T-S fuzzy model is presented in this paper to deal with the decrease of the tracking performance of a man-machine system caused by pilot manipulation delay and aircraft uncertainty. The pilot-aircraft relationship is modeled as an uncertain input-delay T-S fuzzy system, and the preview control theory is applied to compensate for pilot manipulation delay. Based on the performance indices including tracking error and pilot control burden, the man-machine command tracking problem with model uncertainty is transformed to a fuzzy optimal guaranteed cost control issue, and the linear matrix inequalities which satisfy the convex optimization are deduced. A suboptimal preview controller is designed to overcome the deficiency that the linear matrix inequalities cannot be easily solved because the augmented system dimension increases with the growth of preview steps. Finally, the efficiency of the designed fuzzy preview controller is validated through a pilot model simulation and a flight simulator experiment.