Trajectory Tracking of locomotive Using IMM-Based Robust Hybrid Control Algorithm
International Journal of Sensors and Sensor Networks
Volume 5, Issue 3, June 2017, Pages: 34-42
Received: Jun. 4, 2017; Accepted: Jun. 26, 2017; Published: Aug. 10, 2017
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Authors
Tanuja Parameshwar Patgar, SJCE Research Center, Mysore, India
Shankaraiah, Department of ECE, SJCE, Mysore, India
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Abstract
Locomotive surveillance is the most active research topic and still faces big technical challenges in railway safety control system. An end-to-end locomotive tracking and continuous monitoring system is necessary for safety measures in satellite visible and low satellite visible environment. These smart systems aim to updates the information on location, exact detection, speed limitation and also rail track information. This paper contributes to develop an intelligent tracking and monitoring system based on Internet of Things (IoT) platform using Differential Global Positioning System (DGPS) for improved tracking accuracy of locomotive in both environments. Interacting Multiple Model (IMM) tracking algorithm based on Di-filter model is proposed for analysis that make it easy to pinpoint the location and its status of the locomotive.
Keywords
DGPS, Di-filter, IMM Algorithm, Model Matching, Tracking Surveillance Model
To cite this article
Tanuja Parameshwar Patgar, Shankaraiah, Trajectory Tracking of locomotive Using IMM-Based Robust Hybrid Control Algorithm, International Journal of Sensors and Sensor Networks. Vol. 5, No. 3, 2017, pp. 34-42. doi: 10.11648/j.ijssn.20170503.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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