PARAMETRIC IDENTIFICATION AND STABILIZATION OF TURBO-COMPRESSOR PLANT BASED ON MATRIX FRACTION DESCRIPTION USING EXPERIMENTAL DATA

Journal of Engineering Science and Technology

AHMED CHAIBET¹  ABDELLAH KOUZOU²  AHMED HAFAIFA²  BACHIR NAIL² 

[1]Aeronautical Aerospace Automotive Railway Engineering school, ESTACA Paris, France

[2]The Applied Automation and Industrial Diagnostics Laboratory LAADI, Faculty of Science and Technology, University of DJELFA, Algeria

关键词: ARX;    Extended Least Square;    Gas Turbo-compressor;    HammersteinWiener model;    Linear system;    Matrix Fraction Description (MFD);    Solvents;    Stability;    System identification;   

DOI  :  

来源: DOAJ

【 摘 要 】

This paper deals with the application of the multivariable linear system Matrix Fraction Description (MFD) theory for the identification of the Left Linear MIMO ARX turbo-compressor model based on Extended Least Square (ELS) estimator. Indeed, the identification of studied system model parameters is achieved using the experimental (inputs/outputs) data, which have been obtained by measurement on site where the main aim is to ensure the selection of the best model with minimum order. For the validation of the obtained results, a comparative study has been performed with the Hammerstein-Wiener model based on validation criteria where the reliability of the obtained model is taken into account. Finally, a right/left block solvent in several canonical forms have been assigned to present a comparative study, where the objective to ensure the stability enhancement of the dynamic behaviour of the studied turbo-compressor.

【 授权许可】

Unknown