Nonlinear predictive control of a boiler-turbine system based on T-S fuzzy model

The conventional linear extended state space predictive control(ESSPC) is an effective method to control linear systems. However, the linear ESSPC can not handle the plant which is characterized by nonlinearity. To deal with the nonlinear behavior of boiler-turbine system, in this paper, an improved ESSPC based on T-S fuzzy model is proposed. Firstly, T-S fuzzy model is chosen to describe the global nonlinearity of boiler-turbine system and its structure is given. Then, the algorithm of the ESSPC based on T-S fuzzy model is discussed. Finally, the method is applied into the boiler-turbine system and the contrast with conventional ESSPC is presented. Simulation results show that the proposed approach can achieve much better performance in a wide range operation of boiler-turbine system than the conventional ESSPC with fixed model.

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