Nonaffine-Nonlinear Adaptive Control of an Aircraft Cabin Pressure System Using Neural Networks

Autor: Elahe Zeinaly, Sayed Mohammad Ali Bahreini, Bahram Karimi, Ghazanfar Shahgholian
Rok vydání: 2014
Předmět:
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