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Particle Swarm Optimization (PSO) based Tool Position Error Optimization

by Prasant Kumar Mahapatra, Spardha, Inderdeep Kaur Aulakh, Amod Kumar, Swapna Devi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 23
Year of Publication: 2013
Authors: Prasant Kumar Mahapatra, Spardha, Inderdeep Kaur Aulakh, Amod Kumar, Swapna Devi
10.5120/12683-9461

Prasant Kumar Mahapatra, Spardha, Inderdeep Kaur Aulakh, Amod Kumar, Swapna Devi . Particle Swarm Optimization (PSO) based Tool Position Error Optimization. International Journal of Computer Applications. 72, 23 ( June 2013), 25-32. DOI=10.5120/12683-9461

@article{ 10.5120/12683-9461,
author = { Prasant Kumar Mahapatra, Spardha, Inderdeep Kaur Aulakh, Amod Kumar, Swapna Devi },
title = { Particle Swarm Optimization (PSO) based Tool Position Error Optimization },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 23 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 25-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number23/12683-9461/ },
doi = { 10.5120/12683-9461 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:42.935685+05:30
%A Prasant Kumar Mahapatra
%A Spardha
%A Inderdeep Kaur Aulakh
%A Amod Kumar
%A Swapna Devi
%T Particle Swarm Optimization (PSO) based Tool Position Error Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 23
%P 25-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

High-precision tool positioning is one of the fundamental requirements for the industry now-a-days. Earlier, tool positioning and its verification were done using sensors etc. In this paper, an algorithm has been proposed to increase the tool positioning accuracy by analyzing the information obtained using CCD camera. The images of lathe tool are used for carrying out the experiments. Firstly, the images of lathe tool, before and after movement, are captured. From these images, the distance traversed by the tool is calculated which is the observed distance. Tool positioning can be achieved accurately if the errors arising out of target (distance expected to be traversed by the tool) and observed position of the tool are optimized. This paper addresses positional errors and presents an error optimization method using arithmetic measures such as mean, median and Particle Swarm Optimization (PSO) based nature-inspired technique. Finally, the results of the two arithmetic measures are compared with the results of PSO which shows the capability of PSO to converge towards the optimal solution.

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Index Terms

Computer Science
Information Sciences

Keywords

Tool positioning Error Optimization Particle Swarm Optimization Image Processing

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