Nonlinear multivariable supervisory predictive control for drum-type boiler-turbine system

Supervisory predictive control based on GPC theory is an effective control algorithm for complex industrial process which can be realized by adding a supervisory optimal level without modifying the regulatory level. In this paper supervisory predictive control is studied and applied in drum-type boiler-turbine system which is characterized by nonlinearity. Therefore, T-S fuzzy model is used to approximate the dynamics of nonlinear processes. Reasonable solution to the optimization and constraints using Quadratic Programming is presented. Electric power, steam-water fluid density in the drum and drum water level control in drum-type boiler-turbine system is displayed to illustrate the advantages of the proposed method.