首页|Model variables identification of a gas turbine using a subspace approach based on input/output data measurements
Model variables identification of a gas turbine using a subspace approach based on input/output data measurements
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
维普
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.
System identificationSubspace identificationState space modelGas turbineN4SID algorithm
Hakim Bagua、Ahmed Hafaifa、Abdelhamid Iratni、Mouloud Guemana
展开 >
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,Algeria
Faculty of Science and Technology,University of Bordj Bou Arreridj,34000 Bordj Bou Arreridj,Algeria
This paper is the result of the work of estima-tion and identification of gas turbine variables in real time,and was supported a
NETL
NSTL
万方数据
维普
