Abstract

Internet of Things Based Speed Control for an Industrial Electric Vehicle Using ARM Core

Highlights

  • The industrial vehicles continue to gather momentum owing to the extensive automation prevalent in both on and off-road goods category

  • The paper develops an algorithm for a selected industrial electric vehicle to be controlled at different speeds that envisages working on real time Internet of Things (IoT) based Global Positioning System (GPS) signals

  • It brings in a closed loop control system approach with the monitoring parameters forming the input, the micro-controller edge device smartness acting as the process block and the speed control acting as the output, with the vehicle speed acting as a feedback signal together with appropriate signal conditioning circuits

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Summary

Introduction

The industrial vehicles continue to gather momentum owing to the extensive automation prevalent in both on and off-road goods category. In addition there is the urge for the vehicles to be smarter, safe, and energy efficient for sustaining a longer operational period with lower maintenance and running cost, being amply supported by increased vehicle efficiency with smaller downtime. The transportation sector appears to experience a greater push to become electric and support goods vehicle due to increased traffic movement. The industrial electric vehicles necessitate the vehicles to operate at a recommended speed to ensure the sustenance of the life of the battery for longer tenure. The intelligent autonomous mode can be aided by one or more systems that monitor the vehicle continuously and control its speed within the prescribed limits. With the manual mode the speed control depends on the driver which may be strenuous, considering the quantum of workload

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