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在飞机设计中,应用驾驶员数学模型预测飞机飞行品质是避免人机系统出现不良耦合的重要途径之一。为了研究人机闭环飞行品质预测准则,本文首先建立了具有40个飞机构型的飞行模拟实验数据库。利用该数据库中的实验数据,采用插值方法获得预测驾驶员操纵行为特性的数学模型,由此计算得到了描述人机系统闭环特性的指标。文中分析了Neal-Smith准则和MAI准则的特点,通过研究闭环特性指标与实际驾驶员飞行品质评价结果的关系,对MAI准则边界进行了修正,建立了改进的人机系统飞行品质预测准则。最后,利用改进准则进行飞行品质预测,结果表明,改进后的准则能够比较准确的预测飞机飞行品质。
In aircraft design, the application of mathematical models of pilots to predict aircraft flight quality is one of the important ways to avoid the undesirable coupling of man-machine system. In order to study the forecasting criteria of the closed-loop flight quality of man-machine, this paper first established a flight simulation experimental database with 40 aircraft configurations. By using the experimental data in the database, the mathematical model of predicting driver's manipulation behavior was obtained by interpolation, and the index describing the closed-loop characteristic of the human-machine system was calculated. In this paper, the characteristics of Neal-Smith criterion and MAI criterion are analyzed. By studying the relationship between the closed-loop characteristic index and actual driver flight quality evaluation result, the boundary of MAI criterion is modified and the improved flight quality forecasting criterion of human-machine system is established. Finally, using the improved criterion to predict the flight quality, the result shows that the improved criterion can predict the aircraft flight quality more accurately.