A Novel Approach for the Implementation of Kalman Filter for Level Estimation

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. .