Nonaffine-Nonlinear Adaptive Control of an Aircraft Cabin Pressure System Using Neural Networks
Autor: | Elahe Zeinaly, Sayed Mohammad Ali Bahreini, Bahram Karimi, Ghazanfar Shahgholian |
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Rok vydání: | 2014 |
Předmět: |
Lyapunov stability
Engineering Adaptive control Artificial neural network business.industry Mechanical Engineering Aerospace Engineering Internal pressure Control engineering Nonlinear system Cabin pressurization Control theory Adaptive system General Materials Science business Civil and Structural Engineering |
Zdroj: | Journal of Aerospace Engineering. 27:597-603 |
ISSN: | 1943-5525 0893-1321 |
Popis: | In this paper, an adaptive neural network controller is proposed for a nonaffine-nonlinear aircraft cabin pressure system with unknown parameters. A multilayer neural network is used to represent the controller structure. The ultimate boundedness of the closed-loop system is guaranteed through a Lyapunov stability analysis by introducing a suitably driven adaptive rule. The effectiveness of the proposed adaptive controller is illustrated by considering an aircraft cabin pressure system, and the simulation results verify the merits of the proposed controller. |
Databáze: | OpenAIRE |
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