Title :
Predictive control of large steam turbines
Author :
Kordestani, Mojtaba ; Khoshro, Majid Soleimani ; Mirzaee, A.
Author_Institution :
Power & Control Eng. Dept., Shiraz Univ., Shiraz, Iran
Abstract :
This study presents the application of predictive control techniques consisting of General Predictive Control (GPC) and Constrained Receding-Horizon Predictive Control (CRHPC) to regulate the output power of large steam turbines. The performance of the control system has been verified by the simulation process and then tested on real-time process under the set point tracking and load disturbance. Results show the better performance of CRHPC in comparison with GPC in term of much accuracy and less fluctuations in the plant responses.
Keywords :
predictive control; steam turbines; CRHPC; GPC; constrained receding-horizon predictive control; control system performance; general predictive control; large steam turbines; load disturbance; output power regulation; plant responses; real-time process; set point tracking; Equations; IP networks; Mathematical model; Predictive control; Predictive models; Turbines; CRHPC; GPC; Steam turbine;
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
DOI :
10.1109/ASCC.2013.6606366
