Flight test results for Kalman filter and H 2 modification in adaptive control

Rajeev Chandramohan; Tansel Yucelen; Anthony J. Calise; Girish Chowdhary; Eric N. Johnson

doi:10.2514/6.2010-7574

Flight test results for Kalman filter and H ₂ modification in adaptive control

Rajeev Chandramohan, Tansel Yucelen, Anthony J. Calise, Girish Chowdhary, Eric N. Johnson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Flight control systems designed using linear control theory do not perform adequately over the entire operating range of aircraft. Furthermore flight control systems developed for unmanned areil vehicles are expected to meet performance specifications in the presence of nonlinearities and/or failures. Adaptive controllers are ideal candidates for flight control sytem design due to their inherent ability to adapt to compensate for nonlinearities and or failures. Modification terms like e-modification, σ-modification and others are added to standard adaptive laws to ensure boundedness of the adaptive parameters. In this paper ight test results for Kalman filter implementations of ALR-modification for a Nonlinear in parameters neural network adaptive controller are presented. In addition flight test results of an H ₂ adaptive control with e-modification are also presented.

Original language	English (US)
Title of host publication	AIAA Guidance, Navigation, and Control Conference
DOIs	https://doi.org/10.2514/6.2010-7574
State	Published - 2010
Externally published	Yes
Event	AIAA Guidance, Navigation, and Control Conference - Toronto, ON, Canada Duration: Aug 2 2010 → Aug 5 2010

Publication series

Name	AIAA Guidance, Navigation, and Control Conference

Other

Other	AIAA Guidance, Navigation, and Control Conference
Country/Territory	Canada
City	Toronto, ON
Period	8/2/10 → 8/5/10

ASJC Scopus subject areas

Aerospace Engineering
Control and Systems Engineering

Online availability

10.2514/6.2010-7574

Library availability

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Cite this

Chandramohan, R, Yucelen, T, Calise, AJ, Chowdhary, G & Johnson, EN 2010, Flight test results for Kalman filter and H ₂ modification in adaptive control. in AIAA Guidance, Navigation, and Control Conference., AIAA 2010-7574, AIAA Guidance, Navigation, and Control Conference, AIAA Guidance, Navigation, and Control Conference, Toronto, ON, Canada, 8/2/10. https://doi.org/10.2514/6.2010-7574

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abstract = "Flight control systems designed using linear control theory do not perform adequately over the entire operating range of aircraft. Furthermore flight control systems developed for unmanned areil vehicles are expected to meet performance specifications in the presence of nonlinearities and/or failures. Adaptive controllers are ideal candidates for flight control sytem design due to their inherent ability to adapt to compensate for nonlinearities and or failures. Modification terms like e-modification, σ-modification and others are added to standard adaptive laws to ensure boundedness of the adaptive parameters. In this paper ight test results for Kalman filter implementations of ALR-modification for a Nonlinear in parameters neural network adaptive controller are presented. In addition flight test results of an H 2 adaptive control with e-modification are also presented.",

author = "Rajeev Chandramohan and Tansel Yucelen and Calise, {Anthony J.} and Girish Chowdhary and Johnson, {Eric N.}",

note = "Funding Information: This research is supported by NASA Langley Research Center, under grant number NNX08AC61A. The authors gratefully acknowledge Scott Kimbrell and the members of the UAV lab at Georgia Tech for their help in conducting flight tests of the Twinstar aircraft .; AIAA Guidance, Navigation, and Control Conference ; Conference date: 02-08-2010 Through 05-08-2010",

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AU - Johnson, Eric N.

N1 - Funding Information: This research is supported by NASA Langley Research Center, under grant number NNX08AC61A. The authors gratefully acknowledge Scott Kimbrell and the members of the UAV lab at Georgia Tech for their help in conducting flight tests of the Twinstar aircraft .

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