A neural network-based sliding-mode control for rotating stall and surge in axial compressors

A decoupled sliding-mode neural network variable-bound control system (DSMNNVB) is proposed to control rotating stall and surge in jet engine compression systems in presence of disturbance and uncertainty. The control objective is to drive the system state to the original equilibrium point and it pr...

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Bibliographic Details
Published inApplied soft computing Vol. 11; no. 1; pp. 1036 - 1043
Main Authors Javadi Moghaddam, J., Farahani, M.H., Amanifard, N.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2011
Subjects
Axial compressors
Neural network
Sliding mode
Variable bound
Neural network
Axial compressors
Sliding mode
Variable bound
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Summary:A decoupled sliding-mode neural network variable-bound control system (DSMNNVB) is proposed to control rotating stall and surge in jet engine compression systems in presence of disturbance and uncertainty. The control objective is to drive the system state to the original equilibrium point and it proves that the control system is asymptotically stable. In this controller, an adaptive neural network (NN) control scheme is employed for unknown dynamic of nonlinear plant without using a model of the plant. Moreover, no prior knowledge of the plant is assumed. The proposed DSMNNVB controller ensures Lyapunov stability of the nonlinear dynamic of the system.
ISSN:1568-4946
1872-9681
DOI:10.1016/j.asoc.2010.02.002