Kalman Filtering to Real-Time Trace Water Level Measurements using Ultrasonic Sensor
Fatoni Parmono, Bambang Heru Iswanto, Mutia Delina
Department of Physics, Universitas Negeri Jakarta, Jakarta 13220, Indonesia
Abstract
Water level measurement is a very important task, especially to obtain information about the availability of water in a reservoir or overflow of river water in flood management. In this paper, we investigate the water level management using ultrasonic sensor to get data in real time. The monitoring system consist of an ultrasonic sensor, LCD displays, and resource tank interfaced with Arduino. To improve the accuracy of the measurement results we introduced the Kalman filter, an algorithm that uses a series of measurements observed over time to produces estimates of unknown variables by estimating a joint probability distribution over the variables for each time frame. This technique is applied for improving the precision of trace water levels based on ultrasonic sensors in the presence of various noise sources. Filter performance is demonstrated to be adaptive to real-time noise. The effectiveness of this technique is evaluated by measuring the water level in the disturbed container with three different levels. Experiment results indicated reducing the errors of measurement significantly up to 60% for a high disturbed water level condition.
Keywords: Kalman filtering, ultrasonic sensor, water level measurement
Topic: Physics