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Improved PA fan control in presence of noisy measurements

Technical Report:

Abstract

The conventional way of dealing with noisy plant monitoring data in control loops is to introduce filtering which results in delays and consequent limitation of the control performance. Techniques such as Kalman filtering can avoid these delays and permit much faster and more accurate control with a minimum of actuator movement. The benefits achieved by applying this technique to the mill primary air control loops on Unit 2 at the Ratcliffe coal fired power plant are demonstrated. Moreover, because the plant dynamics are simple, the equations involved are very simple.
Publication Date:
Dec 31, 1991
Product Type:
Technical Report
Report Number:
ETDE-IT-93-10
Reference Number:
SCA: 200108; 200104; 426000; PA: ITA-93:000020; SN: 93000925395
Resource Relation:
Other Information: PBD: 1991
Subject:
20 FOSSIL-FUELED POWER PLANTS; 42 ENGINEERING; BLOWERS; CONTROL SYSTEMS; AUTOMATION; SIGNAL CONDITIONING; FOSSIL-FUEL POWER PLANTS; COAL; FUEL FEEDING SYSTEMS; SIGNAL-TO-NOISE RATIO; DATA TRANSMISSION; AIR FLOW; PROCESS CONTROL; 200108; 200104; 426000; FUELS; COMPONENTS; COMPONENTS, ELECTRON DEVICES AND CIRCUITS
OSTI ID:
10117127
Research Organizations:
Ente Nazionale per l`Energia Elettrica, Cologno Monzese (Italy). Centro di Ricerca Automatica
Country of Origin:
Italy
Language:
English
Other Identifying Numbers:
Other: ON: DE93758882; TRN: 93:000020
Availability:
OSTI; NTIS (US Sales Only)
Submitting Site:
ITA
Size:
13 p.
Announcement Date:
Jun 30, 2005

Technical Report:

Citation Formats

Waddington, J, and Zizzo, A. Improved PA fan control in presence of noisy measurements. Italy: N. p., 1991. Web.
Waddington, J, & Zizzo, A. Improved PA fan control in presence of noisy measurements. Italy.
Waddington, J, and Zizzo, A. 1991. "Improved PA fan control in presence of noisy measurements." Italy.
@misc{etde_10117127,
title = {Improved PA fan control in presence of noisy measurements}
author = {Waddington, J, and Zizzo, A}
abstractNote = {The conventional way of dealing with noisy plant monitoring data in control loops is to introduce filtering which results in delays and consequent limitation of the control performance. Techniques such as Kalman filtering can avoid these delays and permit much faster and more accurate control with a minimum of actuator movement. The benefits achieved by applying this technique to the mill primary air control loops on Unit 2 at the Ratcliffe coal fired power plant are demonstrated. Moreover, because the plant dynamics are simple, the equations involved are very simple.}
place = {Italy}
year = {1991}
month = {Dec}
}