Multivariable Model Predictive Control for a Gas Turbine Power Plant

نویسندگان

  • MEHDI RAHNAMA
  • ALI GHAFFARI
  • HADI GHORBANI
چکیده

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. Key-words: Gas turbine, Identification, ARX, Predictive control, Power plant, Modeling, Multivariable control

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تاریخ انتشار 2008