先进飞行控制系统鲁棒性评估方法研究  

Robust Clearance Methods Research for Advanced Flight Control Systems

作　　者：周海军[1] 张翔伦[1] 唐强[1] 

机构地区：[1]飞行自动控制研究所飞行器控制一体化技术国防科技重点实验室,西安710065

出　　处：《系统仿真学报》2008年第S2期220-224,共5页Journal of System Simulation

摘　　要：针对大型运输机的飞行控制系统飞行品质评定,通过结合与飞行控制系统性能密切相关的评定准则,利用基于优化的鲁棒性确认方法(OBA)与基于概率的鲁棒性评估方法(MCA)对存在不确定条件下的控制系统进行综合评定,解决了MCA小概率问题以及OBA保守性问题,其评价结果具有较高的可信度。According to the validation of the flight control system of the aero transport,by combing with the clearance rule of flight control performance,the optimization-based search algorithms(OBA) and the Monte-Carlo algorithms(MCA) were integrated to validate the flight control system with uncertainties,which solves the problem of the rare events of the MCA and the problem of the conservative of OBA.The result was proved to be highly reliability.

关 键 词：鲁棒性评估 飞行控制 不确定性 蒙特卡罗 差分进化 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]