DocumentCode :
2696637
Title :
Research and application of a new predictive control based on state feedback theory in power plant control system
Author :
Zhi-gang, HUA ; HUA, HUA ; Jian-hong, LU ; Zhang Tie-jun
Author_Institution :
Southeast Univ., Nanjing
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
4378
Lastpage :
4385
Abstract :
Reheat steam temperature of the boiler in power plant is the important parameter of unit security and economical run. This paper proposed a new dynamic matrix control based on state feedback theory, for the large inertia and large delay characteristic of the reheat steam temperature plant. The principle is to compensate the large inertia and delay characteristic of the plant by state feedback theory, then to control the generalized plant by predictive control. In this paper the design of controller is introduced. The simulation results demonstrate that the new control system has good robustness and transient performance. And the practical results show that the satisfactory control results have been achieved. So it is an effective control strategy for large delay industry process. Now it has been successfully applied to reheat steam temperature control system in power plant.
Keywords :
boilers; control system synthesis; matrix algebra; power generation control; power system security; predictive control; state feedback; boiler reheat steam temperature; controller design; dynamic matrix control; large delay industry process; large inertia compensation; power plant control system; predictive control; state feedback theory; unit security; Boilers; Control systems; Delay; Power generation; Power generation economics; Power system economics; Power system security; Predictive control; State feedback; Temperature control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4425043
Filename :
4425043
Link To Document :
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