Model variables identification of a gas turbine using a subspace approach based on input/output data measurements
Hakim Bagua1
Ahmed Hafaifa1
Abdelhamid Iratni2
Mouloud Guemana3
1.Applied Automation and Industrial Diagnostics Laboratory,Faculty of Science and Technology,University of Djelfa,17000 Djelfa,Algeria;Gas Turbine Joint Research Team,University of Djelfa,17000 Djelfa,Algeria2.Faculty of Science and Technology,University of Bordj Bou Arreridj,34000 Bordj Bou Arreridj,Algeria3.Gas Turbine Joint Research Team,University of Djelfa,17000 Djelfa,Algeria
摘要：This paper deals with a state model identification of a gas turbine used for gas transport,using a subspace approach of the state space model.This method provides a reliable and robust state representation of the model,taking advantage of its benefits in the control,monitoring,and supervision of this machine.The model for each variable is set so that the state matrices associated with the gas turbine model are determined from their real input/output data.The comparison of the obtained identification results with those of the actual turbine operation serves to validate the proposed model in this work.This numerical algorithm of the subspace identification method is full of information and more accurate in terms of residual modeling error,and expresses a very high level of confidence in the identified turbine system dynamics.Hence,the con-trollability and observability tests of turbine operation for different input/output variables allowed to validate the real-time operating stability of the turbine.
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论文发表日期：2021-05-05
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：14( 183-196 )
英文信息