Recent Study on Speed Control for DC Encoder Motor and Path Optimization in an Automated Guided Vehicle

Authors

  • Madhuri Chavan Department of Electrical and Electronics Engineering, MESCE, Kuttippuram, India.
  • G. Maya Department of Electrical and Electronics Engineering, MESCE, Kuttippuram, India.

DOI:

https://doi.org/10.9734/bpi/naer/v2/2734F

Keywords:

Automated guided vehicle, Fuzzy controller, shortest path, Dijkstra’s algorithm

Abstract

In the fields of automotive and logistics, the automated guided vehicle (AGV) offers a wide range of applications.AGV should run at a steady speed to ensure plant stability. To achieve constant speed, the AGV uses a DC encoder motor that is controlled by a Fuzzy controller and a PID controller. The system's response is achieved using a fuzzy controller and a PID controller.  The fuzzy logic controller reduces the system's steady-state inaccuracy and overshoot. The Dijkstra algorithm is used to select the optimal path. The shortest path between the source and destination nodes is determined by this algorithm.   

Published

2021-07-03

How to Cite

Madhuri Chavan, & G. Maya. (2021). Recent Study on Speed Control for DC Encoder Motor and Path Optimization in an Automated Guided Vehicle. New Approaches in Engineering Research Vol. 2, 37–45. https://doi.org/10.9734/bpi/naer/v2/2734F

Issue

New Approaches in Engineering Research Vol. 2

Section

Chapters