Study on an Improved Generalized Predictive Control Algorithm in 660MW Generating Unit

Article Preview

Abstract:

In this paper, the generalized predictive control algorithm with measurable external disturbances (FF-GPC) is deduced. On this basis, in view of the shortcoming of GPC algorithm that the overshooting is large in some degree with large lag and delay process, an improved generalized predictive control algorithm (FF-IGPC) is proposed. Based on the concept of multi-step "quasi-optimal prediction", the new algorithm puts forward an improvement for the reference trajectory. Taking 660MW coal-fired generating unit as controlled object, the FF-GPC and FF-IGPC algorithm are simulated. The results verified the feasibility of the FF-GPC algorithm, and the good control performances of the FF-IGPC algorithm.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

381-386

Citation:

Online since:

September 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] LIU Jizhen, in: Coordination control and feedwater control, edited by WCEP Press, Beijing (1995).

Google Scholar

[2] Wang Wei, in: Generalized predictive control theory and its application, edited by Science Press, Beijing (1998).

Google Scholar

[3] Moscinski J and Ogonowski Z, in: Advanced control with MATLAB and SIMULINK, edited by Ellis Horwood, London (1995).

Google Scholar

[4] Clarke D W and Mohtadi C. in: Properties of generalized predictive control, edited by Automatica, Vol. 25 (1989), pp.859-875.

DOI: 10.1016/0005-1098(89)90053-8

Google Scholar

[5] Liu Jizhen and Tian Liang, in: Analysis of 660MW unit load-stress nonlinear characteristics, edited by Power Engineering, Vol. 4(2005), pp.533-540.

Google Scholar

[6] Li Guoyong, in: Intelligent predictive control and MATLAB implementation, edited by Electronic Industry Press, Beijing (2010).

Google Scholar