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Time-Varying Modification of Reference Model for Adaptive Control with Performance OptimizationThis paper presents a new adaptive control ap- proach that involves a performance optimization objective. The control synthesis involves the design of a performance optimizing adaptive controller from a subset of control inputs. The resulting effect of the performance optimizing adaptive controller is to modify the initial reference model into a time-varying reference model which satisfies the performance optimization requirement obtained from an optimal control problem. The time-varying reference model modification is accomplished by the real-time solutions of the time-varying Riccati and Sylvester equations coupled with the least-squares parameter estimation of the sen- sitivities of the performance metric. The effectiveness of the proposed method is demonstrated by an application of maneuver load alleviation control for a flexible aircraft.
Document ID
20180004401
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Nguyen, Nhan T.
(NASA Ames Research Center Moffett Field, CA, United States)
Hashemi, Kelley E.
(Universities Space Research Association (USRA) Moffett Field, CA, United States)
Date Acquired
August 13, 2018
Publication Date
June 27, 2018
Subject Category
Mathematical And Computer Sciences (General)
Report/Patent Number
ARC-E-DAA-TN53412
Report Number: ARC-E-DAA-TN53412
Meeting Information
Meeting: American Control Conference (ACC 2018)
Location: Milwaukee, WI
Country: United States
Start Date: June 27, 2018
End Date: June 29, 2018
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NNH15CO48B
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Adaptive Control
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