Title :
An adaptive State estimator for pulverizer control using moments of particle size distribution
Author :
Fukayama, Yukio ; Hirasawa, Kotaro ; Shimohira, Katsumi ; Kanemoto, Hiroaki
Author_Institution :
Electron. Control Dept., Niihama Nat. Coll. of Technol., Japan
Abstract :
An adaptive state estimator for pulverizers consisting of blending, grinding, and classifying processes has been developed in order to improve control of pulverized-coal-fired power stations. Though coal flow and non-Gaussian particle size distributions in the processes are mutually related, the estimator is able to efficiently simulate flow and normalized moments of the distributions with a state vector. The estimator also identifies coal grindability for adapting to variation in coal characteristic in parallel with the process simulation. The accuracy of the adaptive estimation and the effectiveness in improving the load-swinging performance have been validated at a 1000-MWe class power station.
Keywords :
coal; particle size; power station control; power system state estimation; process control; pulverised fuels; steam power stations; adaptive estimation; adaptive state estimator; coal flow; nonGaussian particle size distributions; particle size distribution moments; pulverized-coal-fired power stations; pulverizer control; state vector; Adaptive control; Covariance matrix; Equations; Feeds; Jacobian matrices; Noise shaping; Power generation; Programmable control; Size control; State estimation; Adaptive estimation; coal; higher order statistics; thermal power generation;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2004.833624
