2008
DOI: 10.2514/1.32024
|View full text |Cite
|
Sign up to set email alerts
|

Rotorcraft Parameter Identification from Real Time Flight Data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
17
0

Year Published

2010
2010
2017
2017

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 29 publications
(17 citation statements)
references
References 25 publications
0
17
0
Order By: Relevance
“…The work clearly showed that the neuro-controller meets the requirements of ADS-33 handling quality specifications. Kumar et al (2008) proposed a new method for rotorcraft parameter estimation which does not require any mathematical models. The proposed method calculates the aerodynamic derivatives using radial basis function neural networks.…”
Section: Helicopter Rotor Design Optimizationmentioning
confidence: 99%
“…The work clearly showed that the neuro-controller meets the requirements of ADS-33 handling quality specifications. Kumar et al (2008) proposed a new method for rotorcraft parameter estimation which does not require any mathematical models. The proposed method calculates the aerodynamic derivatives using radial basis function neural networks.…”
Section: Helicopter Rotor Design Optimizationmentioning
confidence: 99%
“…So a certain technical means is needed, on the basis of analyzing time histories of operational flight maneuvers to extract critical parameters and their numerical range, to derive the loads information of these maneuvers. [5][6][7] Educing load statuses from operational maneuvers is one key technology of individual aircraft tracking and also one important part of baseline load spectrum generation and structural design.…”
Section: Introductionmentioning
confidence: 99%
“…This methodology is more accurate than the corresponding values predicted by other methods such as analytical and numerical differentiation [4,5]. Thus, identification of parameters has become a significant tool for applications such as model validation, handling qualities evaluation, control law design, and flight-vehicle design and certification [6].…”
Section: Introductionmentioning
confidence: 99%