Flight Investigation of Prescribed Simultaneous Independent Surface Excitations for Real-Time Parameter Identification
Flight Investigation of Prescribed Simultaneous Independent Surface Excitations for Real-Time Parameter Identification
复制标题
用于实时参数识别的规定同时独立表面激励的飞行研究
DOI：
10.2514/6.2003-5702
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
E. Morelli
中科院分区：
文献类型：
--
作者：
T. Moes;Mark S. Smith;E. Morelli
需要近实时稳定性和控制导数提取来支持 NASA、学术界和工业界正在开发的智能飞行控制系统 (IFCS) 概念的飞行演示。传统上，飞行机动的设计和飞行是为了使用飞行后分析技术获得稳定性和控制导数估计。 IFCS概念的目标是能够实时修改飞行中受损的飞机的控制律。在一些IFCS实施中，受损飞机的稳定性和控制导数的实时参数识别（PID）对于成功地重新配置控制系统是必要的。本报告研究了规定同时独立表面激励 (PreSISE) 的有用性，以提供快速获得稳定性和控制导数估计值的数据。使用方程误差和输出误差 PID 技术对飞行测试数据进行分析。方程误差 PID 技术称为傅里叶变换回归 (FTR)，是一种频域实时实现。将选定的结果与时域输出误差技术进行比较。实时方程误差技术与 PreSISE 操作相结合，提供了出色的纵轴导数估计。然而，目前定义的 PreSISE 机动不足以准确估计横向导数。
Near real-time stability and control derivative extraction is required to support flight demonstration of Intelligent Flight Control System (IFCS) concepts being developed by NASA, academia, and industry. Traditionally, flight maneuvers would be designed and flown to obtain stability and control derivative estimates using a postflight analysis technique. The goal of the IFCS concept is to be able to modify the control laws in real time for an aircraft that has been damaged in flight. In some IFCS implementations, real-time parameter identification (PID) of the stability and control derivatives of the damaged aircraft is necessary for successfully reconfiguring the control system. This report investigates the usefulness of Prescribed Simultaneous Independent Surface Excitations (PreSISE) to provide data for rapidly obtaining estimates of the stability and control derivatives. Flight test data were analyzed using both equation-error and output-error PID techniques. The equation-error PID technique is known as Fourier Transform Regression (FTR) and is a frequency-domain real-time implementation. Selected results were compared with a time-domain output-error technique. The real-time equation-error technique combined with the PreSISE maneuvers provided excellent derivative estimation in the longitudinal axis. However, the PreSISE maneuvers as presently defined were not adequate for accurate estimation of the lateral-directional derivatives.