arrow
Return

Lateral Flight Technical Error Estimation Model for Performance Based Navigation

delete2011-06-01
delete12
delete
OA
AI
H
Hongsheng Zhao
徐孝浩 (Xiaohao Xu)
J
Jun Zhang *
朱衍波 (Yanbo Zhu)
C
Chuan-Sen Yang
S
Sheng Hong
DOI:10.1016/S1000-9361(11)60039-3delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Flight technical error (FTE) combined with navigation system error (NSE) is the main part of total system error (TSE) in performance based navigation (PBN). The implementation of PBN requires pre-flight prediction and en-route short-term dynamical prediction of the TSE. Once the sum of predicted lateral FTE and NSE is greater than the specified PBN value, the PBN cannot operate. Thus, accurate modeling and thorough analysis of lateral FTE are indispensible. Multiple-input multiple-output (MIMO) lateral track control system of a transport aircraft is designed using linear quadratic Gaussian and loop transfer recovery (LQG/LTR) method, and the lateral FTE of a turbulence disturbed approach operation is analyzed. The error estimation mapping function of latera FTE and its bound estimation algorithm are proposed based on singular value theory. According to the forming mechanism of lateral FTE, the algorithm considers environmental turbulence fluctuation disturbance, aircraft dynamics and control system parameters. Real-data-based Monte-Carlo simulation validates the theoretical analysis of FTE. It also shows that FTE is mainly caused by turbulence fluctuation disturbance when automatic flight control system (AFCS) is engaged and would increase with escalating environmental turbulence intensity.
Keywords:
flight technical error
performance based navigation
LQG/LTR
air traffic management
Kalman filters
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Chinese Journal of Aeronautics cover
Chinese Journal of Aeronautics
IF:
5.7
Papers:
4.7K
Citations:
1.4W

Organization

C
Civil Aviation University of China
Scholars:
3.0K
Papers: 1.9K
Citations: 1.5K
B
Beihang University
Scholars:
5.2W
Papers: 4.1W
Citations: 37