Fuzzy gain scheduled model predictive control for boiler-turbine coordinated system

Tie Jun Zhang, Jian Hong Lu, Zhi Gang Hua

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


This paper proposes a new fuzzy gain-scheduled model predictive controller to control the nonlinear MIMO boiler-turbine coordinated system which dynamics often varies over a wide range. With the help of fuzzy set theory, a global discrete-time fuzzy model for nonlinear boiler-turbine system is obtained; Based on it, a new extended state-space model predictive controller is particularly designed, and its excellent ability of global optimization in receding horizon can demonstrate the optimal control performance over full operating range. Moreover, the proposed predictive controller can easily solve the constrained optimization of manipulated variable. Finally, simulation results over a wide range show that the proposed control system has good load tracking property under amplitude limits and slew-rate limits on the manipulated inputs.

Original languageBritish English
Pages (from-to)158-165
Number of pages8
JournalZhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Issue number4
StatePublished - 16 Feb 2005


  • Boiler-Turbine system
  • Constrained optimization
  • Gain Scheduling
  • Global fuzzy model
  • Predictive control
  • Thermal power engineering


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