Analysis of Suspended Vibrated Drum, Part II: Improvement Dynamic Model Using Particle Swarm Optimization

Authors

  • Dhurgham Ahmed Kadhim
  • Hussain Abdulaziz Abrahem
  • Nazhat Saeed Abdul razaq

DOI:

https://doi.org/10.31695/IJASRE.2019.33044

Keywords:

PSO, Dynamic model, Optimization, GA.

Abstract

Particle swarm optimization (PSO) algorithm has been used to obtain the optimal design of three degrees of freedom mathematical model for the suspended vibrated drum. Optimization is done for the geometric distance of the model; therefore the mathematical model has two constraints which are presented. The constraints must be achieved to improve the model. PSO code is programmed in MATLAB with exchanging data between MATLAB and Simulink.

Published

2019-01-04

How to Cite

Dhurgham Ahmed Kadhim, Hussain Abdulaziz Abrahem, & Nazhat Saeed Abdul razaq. (2019). Analysis of Suspended Vibrated Drum, Part II: Improvement Dynamic Model Using Particle Swarm Optimization. I. J. Of Advances in Scientific Research and Engineering-IJASRE (ISSN: 2454 - 8006), 5(1), 65-73. https://doi.org/10.31695/IJASRE.2019.33044