Title :
Nonlinear multivariable supervisory predictive control for drum-type boiler-turbine system
Author :
Yubin Jia ; Liu, X.J.
Author_Institution :
Sch. Of Control Theor. & Control Eng., North China Electr. Power Univ., Beijing, China
fDate :
May 31 2014-June 2 2014
Abstract :
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.
Keywords :
approximation theory; boilers; control nonlinearities; fuzzy control; level control; multivariable control systems; nonlinear control systems; predictive control; process control; quadratic programming; steam turbines; GPC theory; MPC; T-S fuzzy model; complex industrial process; drum water level control; drum-type boiler-turbine system; electric power; model predictive control; nonlinear multivariable supervisory predictive control; nonlinear process dynamics approximation; nonlinearity; quadratic programming; steam-water fluid density; supervisory optimal level; Educational institutions; Power systems; Predictive control; Predictive models; Quadratic programming; Supervisory predictive control; drum-type boiler-turbine system; fuzzy model; quadratic programming;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852321
