Particle Swarm Optimization (PSO) based Tool Position Error Optimization

Mahapatra, P.K. and Sethi, V.S. and Aulakh, N.S. and Devi, Swapna and Kumar, Amod and ., Spardha (2013) Particle Swarm Optimization (PSO) based Tool Position Error Optimization. International Journal of Computer Applications, 72 (23). pp. 25-32. ISSN 0975 – 8887

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Official URL: http://research.ijcaonline.org/volume72/number23/p...

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

Item Type: Article
Uncontrolled Keywords: Tool positioning, Error Optimization, Particle Swarm Optimization, Image Processing
Subjects: CSIO > Agri - Instrumentation
Divisions: Agri - Instrumentation
Depositing User: Ms. Jyotsana
Date Deposited: 13 Jan 2015 10:47
Last Modified: 13 Jan 2015 10:47
URI: http://csioir.csio.res.in/id/eprint/466

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