A Novel Approach for the Implementation of Kalman Filter for Level Estimation
Lekshmi Nair J and Subha Hency P Jose. Article: A Novel Approach for the Implementation of Kalman Filter for Level Estimation. IJCA Proceedings on International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences ICIIIOES(13):24-28, December 2013. Full text available. BibTeX
@article{key:article,
author = {Lekshmi Nair J and P. Subha Hency Jose},
title = {Article: A Novel Approach for the Implementation of Kalman Filter for Level Estimation},
journal = {IJCA Proceedings on International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences},
year = {2013},
volume = {ICIIIOES},
number = {13},
pages = {24-28},
month = {December},
note = {Full text available}
}
Abstract
In this work a kalman filter is designed for estimating the level of a cylindrical tank and thus removing noise from the level sensor. The system is modeled as a first order system. The kalman filter is designed and is used to verify its effectiveness in level estimation. This work describes the Kalman Filter which is the most important algorithm for state estimation and noise cancellation in a level system. The real time implementation shows that the noise in the system is eliminated and estimation of level is done.
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