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Multi-Objective Optimal Control of High Aspect Ratio Wing Wind Tunnel ModelThis paper presents the design of a multi-objective optimal controller for the 13.5 aspect ratio
Common Research Model (CRM) wind tunnel model. A Pareto front analysis is performed to
provide the optimal tradeoff between the competing objectives - gust load alleviation, maneuver
load alleviation, and drag minimization - so that the weighting matrices for the control law
are selected optimally. Also presented are two formulations of the controller: a state feedback
with Kalman filter design, and an output feedback form where sensors are used directly for
feedback control. The controller demonstrates a reduced peak-to-peak strain of 45.78% while
also reducing drag and mean bending moment. An output feedback formulation for gust load
alleviation is formulated and produces a 53% reduction in the strain response due to a gust
input.
Document ID
20230018068
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Christopher Forte
(KBR Wyle Services, LLC)
Nhan Nguyen
(Ames Research Center Mountain View, California, United States)
Date Acquired
December 11, 2023
Subject Category
Aircraft Stability And Control
Meeting Information
Meeting: AIAA SciTech Forum
Location: Orlando, FL
Country: US
Start Date: January 8, 2023
End Date: January 12, 2023
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: 80ARC020D0010 KBR-Wyle
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Peer Committee
Keywords
Gust Load Alleviation
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