Modeling and supervisory control design for a combined cycle power plant

Salah Abokhatwa, Reza Katebi

Research output: Contribution to conferenceProceeding

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The traditional control strategy based on PID controllers may be unsatisfactory when dealing with processes with large time delay and constraints. This paper presents a supervisory model based constrained predictive controller (MPC) for a combined cycle power plant (CCPP). First, a non-linear dynamic model of CCPP using the laws of physics was proposed. Then, the supervisory control using the linear constrained MPC method was designed to tune the performance of the PID controllers by including output constraints and manipulating the set points. This scheme showed excellent tracking and disturbance rejection results and improved performance compared with a stand-alone PID controller’s scheme.
Original languageEnglish
Number of pages8
Publication statusPublished - 20 Jun 2012
EventIASTED International Conference ,Control and Application - Crete, Greece
Duration: 18 Jun 201220 Nov 2012


ConferenceIASTED International Conference ,Control and Application


  • combined cycle power plant
  • PID control
  • linearization
  • supervisory model predictive control


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