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Modeling and Inverse Controller Design for an Unmanned Aerial Vehicle Based on the Self-Organizing MapThe next generation of aircraft will have dynamics that vary considerably over the operating regime. A single controller will have difficulty to meet the design specifications. In this paper, a SOM-based local linear modeling scheme of an unmanned aerial vehicle (UAV) is developed to design a set of inverse controllers. The SOM selects the operating regime depending only on the embedded output space information and avoids normalization of the input data. Each local linear model is associated with a linear controller, which is easy to design. Switching of the controllers is done synchronously with the active local linear model that tracks the different operating conditions. The proposed multiple modeling and control strategy has been successfully tested in a simulator that models the LoFLYTE UAV.
Document ID
20080015499
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Cho, Jeongho (Florida Univ. Gainesville, FL, United States)
Principe, Jose C. (Florida Univ. Gainesville, FL, United States)
Erdogmus, Deniz (Oregon Health and Science Univ. Beaverton, OR, United States)
Motter, Mark A. (NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 24, 2013
Publication Date
January 1, 2005
Subject Category
Aircraft Stability And Control
Funding Number(s)
CONTRACT_GRANT: 463
CONTRACT_GRANT: NAG1-02068
Distribution Limits
Public
Copyright
Public Use Permitted.

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