ESTIMATION OF WATER LEVEL AND STEAM TEMPERATURE OF STEAM DRUM BOILER USING KALMAN FILTER

Abstract

The most vital role in the steam-poweres electric power plant is boiler. Steam drum boiler is a tank functioning to seprate fluida into has phase and liquid phase. The existaned in boiler system has a vital role. The variables controleld in the steam drum boiler are the height of water and the temperature of steam. If the water level height is higher than the determined level, then the gas phase resulted will contain steam endangering the following process ad making the resulted steam going to turbine get less, and theby causing damages to piepes in the boiler. On the contrary, if less than the height of determined water level, the resulted height will result in dry steam that can endanger steam drum. Thus an error was observed between the determined. This paper studied the implementation of Kalman Filter (KF) method in linear model of the steam drum boiler equation obtained from nonlinear model linearization. The computation to estimate the height of water level and the temperature of steam was by simulation using Matlab software. Then, it could be seen or observered the resulted errors in the water level and steam temperature compared to those determined by estimation results. The result of simulation by Kalman Filter (KF) on steam drum boiler model showed that the error was less than 1%.