Neural-network-identification-based adaptive control of wing rock motions

C.-F. Hsu; C.-M. Lin; T.-Y. Chen

Neural-network-identification-based adaptive control of wing rock motions

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Neural-network-identification-based adaptive control of wing rock motions

Author(s): C.-F. Hsu ; C.-M. Lin ; T.-Y. Chen
DOI: 10.1049/ip-cta:20050904

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Author(s): C.-F. Hsu ¹ ; C.-M. Lin ² ; T.-Y. Chen ²
- Affiliations: 1: Department of Electrical and Control Engineering, National Chiao-Tung University, Hsinchu, Republic of China
  2: Department of Electrical Engineering, Yuan-Ze University, Tao-Yuan, Republic of China
Source: Volume 152, Issue 1, January 2005, p. 65 – 71
DOI: 10.1049/ip-cta:20050904 , Print ISSN 1350-2379, Online ISSN 1359-7035

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The proposed control system comprises a computation controller and a tracking controller. The computation controller containing a recurrent neural network identifier is the principal controller, and the tracking controller is designed to achieve L₂ tracking performance with a desired attenuation level. To investigate the effectiveness of the proposed control system the design methodology is used to control a wing rock motion, manifested by a limit-cycle oscillation predominantly for an aircraft operating at subsonic speeds and high angles of attack. Simulation results demonstrate that the proposed control system can achieve favourable tracking performance for the wing rock motion.

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