Trajectory Tracking of locomotive Using IMM-Based Robust Hybrid Control Algorithm

Tanuja Parameshwar Patgar ,Shankaraiah

doi:10.11648/j.ijssn.20170503.11

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.

Highlights

Many real world applications managed in military and civilian require accurate tracking of moving targets acquired by sensors
We propose Di-filter model management for the Interacting Multiple Model (IMM) algorithm that is governed by Markov chain that controls the switching behavior among the two models [15]
Simulations were executed to compare the performance of IMM algorithms with the Difilter (Kalman) model for tracking locomotive in two different environments

Summary

Introduction

Many real world applications managed in military and civilian require accurate tracking of moving targets acquired by sensors. In military applications, tracking is continuously updated the performance of target’s position and tracking of enemy vehicles so that they are blocked and destroyed immediately [1]. In civilian applications target tracking is of much use in autonomous vehicles, home security etc. There is loads of real time application for locomotive tracking and monitoring using satellite based navigation system with high level of speed and precision. These systems are more accurate, precise, efficient, low cost and less economic maintenance. In poor satellite visible areas such as mountains, tunnel, valleys, deep cuttings etc. they are facing many service failure issues [3]

Methods

Results

Conclusion