DocumentCode :
128675
Title :
Application of improved generalized predictive control to coordinated control system in supercritical unit
Author :
Guolian Hou ; Xu Bai ; Rong Huang
Author_Institution :
Control & Comput. Eng. Dept., North China Electr. Power Univ., Beijing, China
fYear :
2014
fDate :
9-11 June 2014
Firstpage :
1591
Lastpage :
1595
Abstract :
The coordinated control system (CCS) is a complicated system with large delay, nonlinearity and strong coupling. Traditional control strategy is difficult to obtain satisfactory control effect because of the low tracking speed and large overshoot. In this paper, an improved generalized predictive control (IGPC) is proposed and it is applied to a 1000MW supercritical unit. In order to take full advantage of predictive information and use the change trends of the manipulated variables to amend the optimal control, the IGPC is designed as follows. Firstly, the optimal control is calculated by minimizing the objective function. Then the predictive information is fully used to obtain the improved control increment. Finally, the improved control law is obtained. This algorithm can achieve higher tracking speed and less overshoot than traditional GPC. The simulation results illustrate the effectiveness of the algorithm.
Keywords :
boilers; control nonlinearities; delays; optimal control; power system control; predictive control; turbines; CCS; IGPC; change trends; coordinated control system; delay; improved control increment; improved generalized predictive control; low tracking speed; nonlinearity; optimal control; satisfactory control effect; strong coupling; supercritical unit; Boilers; Optimal control; Power generation; Power systems; Prediction algorithms; Predictive control; IGPC; Improved generalized predictive control; coordinated control system; supercritical unit;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
Type :
conf
DOI :
10.1109/ICIEA.2014.6931422
Filename :
6931422
Link To Document :
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