Open AccessSoft‐sensor approach for measuring pulverised coal flow
Author(s) -
Naha Arunava,
Deb Alok Kanti
Publication year - 2014
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2013.0092
Subject(s) - coal , kalman filter , extended kalman filter , volumetric flow rate , flow (mathematics) , engineering , computer science , waste management , mathematics , artificial intelligence , mechanics , physics , geometry
This study presents a methodology to estimate the instantaneous pulverised coal flow rate of the E‐type vertical spindle coal mills. Modifications over a six‐segment coal mill model have been proposed, and particle swarm optimisation technique with Kalman correction has been used to optimise the unknown parameters of the modified model by using real plant data. To account for the deviation of the mill parameters with time, an extended Kalman filter (EKF) using the modified model with the optimised parameters has been implemented that updates the pulverised coal flow rate to reflect the actual evolving measurements.