AIAA SCITECH 2022 Forum 2022
DOI: 10.2514/6.2022-1934
|View full text |Cite
|
Sign up to set email alerts
|

Gust Load Control Design Challenge Including Lidar Wind Measurements and Based on the Common Research Model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
5
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
1
1

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 16 publications
0
5
0
Order By: Relevance
“…37 Illustration of wind estimation process: from lidar line-of-sight speed measurements to estimated wind field (in vertical direction), adapted from Ref. [108].…”
Section: Wind Field Reconstruction From Airborne Lidar Measurementsmentioning
confidence: 99%
See 1 more Smart Citation
“…37 Illustration of wind estimation process: from lidar line-of-sight speed measurements to estimated wind field (in vertical direction), adapted from Ref. [108].…”
Section: Wind Field Reconstruction From Airborne Lidar Measurementsmentioning
confidence: 99%
“…In this specific case, the p parameters in θ correspond to the individual wind velocity components at the model nodes. When used for a series of nodes along the flight path, as in Fig.37, the Tikhonov regularization matrices Γ 1 and Γ 2 are, respectively, of sizes p − 1 × p and p − 2 × p. More detailed explanations on the wind field estimation problem from lidar line-of-sight speed measurements, its solution, and how this information can be used by gust load alleviation controllers are given in Refs [107][108][109][110][111]…”
mentioning
confidence: 99%
“…The wind measurement with embedded atmospheric lidar have many applications such as gust load alleviation, [1][2][3][4] navigation aid for aircraft navigation 5 or high-altitude platform system, 6 weather forecasting improvement using wind measurements from spaceborne lidar. 7 The latter was realized during the ADM-Aeolus mission, launched in 2018, providing the first global wind profiles from space across the entire troposphere and lower stratosphere which led to a significant improvement in the weather forecast score.…”
Section: Introductionmentioning
confidence: 99%
“…DLR studies the interconnection of reducible loads, airframe control and aerodynamics and lidar sensory capabilities in a holistic approach. Thus, a four-part iterative simulation suite [20,24,25] covers the whole chain: lidar performance is modeled both in a simplified analytical and a more physical end-to-end implementation-based simulation, as a function of basic design parameters (see Section 2). A module designated to the wind reconstruction algorithm (WRA) allows the optimization of the LOS wind acquisition with respect to the relevant aircraft frequency responses [26,27].…”
Section: Introductionmentioning
confidence: 99%
“…in order to generate a descriptive aero-elastic state space model of reduced order. This allows the derivation of mechanical loads based on turbulence input [25], where the latter may be discrete gusts or continuous turbulence as defined in the regulatory framework documents [12]. Another block within the simulation ensemble is the feedforward gust load alleviation (GLA) controller itself, with the controller design based on a new multi-channel structured discrete time H ∞ formulation [28].…”
Section: Introductionmentioning
confidence: 99%