Title :
Model predictive control for nonlinear boiler-turbine system based on fuzzy gain scheduling
Author :
Wu, Ke ; Zhang, Tiejun ; Lv, Jianhong ; Xiang, Wenguo
Author_Institution :
Sch. of Energy & Environ., Southeast Univ., Nanjing
Abstract :
This paper proposes a method for fuzzy gain scheduling state-space model predictive controller to deal with the nonlinearity of the boiler-turbine system. Simulation results over wide range show the good load-tracking property and robust control performance of the proposed controller under amplitude and slew-rate constraints on the manipulated variables.
Keywords :
boilers; fuzzy control; fuzzy set theory; nonlinear control systems; power generation control; predictive control; robust control; scheduling; state-space methods; turbines; amplitude constraint; automatic generating control problem; fuzzy gain scheduling; load-tracking property; model predictive control; nonlinear boiler-turbine system; power plant control system; robust control performance; slew-rate constraint; state-space model predictive controller; Automatic control; Control systems; Fuzzy control; Fuzzy systems; Job shop scheduling; Nonlinear control systems; Nonlinear dynamical systems; Predictive control; Predictive models; Robust control; Boiler-Turbine system; Constrained optimization; Gain scheduling; Global fuzzy model; Predictive control;
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
DOI :
10.1109/ICAL.2008.4636318
