DocumentCode :
837735
Title :
On-line adaptive optimal combustor control
Author :
Padmanabhan, K.T. ; Bowman, C.T. ; Powell, J. David
Author_Institution :
Dept. of Mech. Eng., Stanford Univ., CA, USA
Volume :
4
Issue :
3
fYear :
1996
fDate :
5/1/1996 12:00:00 AM
Firstpage :
217
Lastpage :
229
Abstract :
A combustor control strategy that optimizes the trade-off between increasing volumetric heat release and decreasing pressure fluctuations in a laboratory-scale combustor is described. The strategy uses actuation and sensing techniques that simultaneously control and measure volumetric heat release and pressure fluctuations to minimize a cost function while the combustor operates. The cost function is a weighted combination of mean volumetric heat release and RMS pressure fluctuation level. The combustor is maintained at the optimum operating condition when the combustor is subject to unknown inlet condition changes through continuous searching for the best actuator input combinations. The adaptiveness of the strategy has been experimentally tested with unknown inlet condition changes such as flow disturbances, changes in equivalence ratio, and changes in inlet velocity, and results show that the control strategy can re-minimize the cost function within four minutes for large and small inlet condition changes
Keywords :
MIMO systems; adaptive control; combustion; gas turbines; heat engines; optimal control; optimisation; real-time systems; thermal variables control; MIMO control; aerospace propulsion; combustor control; cost function; inlet velocity; online adaptive control; optimal control; pressure fluctuations; volumetric heat release; Adaptive control; Cost function; Fluctuations; Laboratories; Optimal control; Pressure control; Pressure measurement; Programmable control; Temperature control; Volume measurement;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/87.491196
Filename :
491196
Link To Document :
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