Multivariable model predictive control for a gas turbine power plant

被引：0
|
作者：
Ghorbani, Hadi [1 ]
Ghaffari, Ali [1 ]
Rahnama, Mehdi [2 ]
机构：
[1] KN Toosi Univ Technol, Dept Mech Engn, Tehran, Iran
[2] Islamic Azad Univ, Sci Res Branch, Depute Operat Dept Montazer Ghaem, CCPP, Tehran, Iran
来源：
ACMOS '08: PROCEEDINGS OF THE 10TH WSEAS INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL, MODELLING AND SIMULATION | 2008年
关键词：
gas turbine; identification; ARX; predictive control; power plant; modeling; multivariable control;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this brief, constrained multi variable model predictive control (MPC) strategy is investigated for a GE9001E gas turbine power plant. So the rotor speed and exhaust gas temperature are controlled manipulating the fuel command and compressor inlet guide vanes position. A nonlinear model is introduced using conventional mathematical models and ARX identification procedure as gas turbine plant model. Also a process control model is identified for future system outputs prediction. The investigated system is simulated under load demand disturbance. In comprehension with SpeedTronic control system, MPC controller can maintain the rotor speed more accurate using simultaneous exhaust gas temperature control.
引用
收藏
页码：275 / +
页数：4
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