Research Article
Data Processing Consideration and Model Validation in Flight Vehicle System Identification
@INPROCEEDINGS{10.1007/978-3-642-32573-1_46, author={Sepehr Nesaei and Kamran Raissi}, title={Data Processing Consideration and Model Validation in Flight Vehicle System Identification}, proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers}, proceedings_a={SPIT \& IPC}, year={2012}, month={10}, keywords={Data Processing Model Validation Hinge Moment Parameters Parameter Identification}, doi={10.1007/978-3-642-32573-1_46} }- Sepehr Nesaei
Kamran Raissi
Year: 2012
Data Processing Consideration and Model Validation in Flight Vehicle System Identification
SPIT & IPC
Springer
DOI: 10.1007/978-3-642-32573-1_46
Abstract
There are four steps in system identification. Data Processing constitutes the first and most essential step. In this paper an overview of the flight data processing for reaching a sound set of data is presented. It includes the analysis of the types of data available, the method of exclusion of outliers and noise, bias corrections, and filtering of disturbances. Filtering include time domain and frequency domain processing. On the other hand, model validation is considered the final step for aircraft identification. This was accomplished for an innovative model of elevator hinge moment (EHM) in a turboprop aircraft equipped with a mechanical control system. Here, optimization of the identification design has been achieved by iteratively estimating the unknown model parameters.
