基于Memetic算法的飞行控制律评估

摘要

本文采用Memetic算法进行飞行控制系统PIO评估,提出了一种结合自适应差分进化和模式搜索的Memetic算法.以瑞典FOI开发的飞机模型ADMIRE为研究对象,利用Memetic算法对存在不确定条件下的飞行控制系统进行评估.评估结果表明,与工业传统网格评估方法相比,改进的优化算法可以在全飞行包线范围内找出最坏的飞行状态,具有更高的可靠性、效率.%This paper demonstrates the application of Memetic algorithm to the problem of analyzing the clearance work of PIO for flight control systems.Combining with an integrated adaptive differential evolution and pattern search,an improved Memetic algorithm is proposed.The proposed algorithm was integrated to validate the flight control system of The Aero-Data Model in Research Environment (ADMIRE) developed by FOI with uncertainties.Result shows that the reliability,computational complexity and efficiency of the Memetic optimization algorithm,which suppresses the current general ones,especially in finding the worst flight condition within the entire envelope.