Using Emperor and Particle Swarm Optimization Algorithm to Optimize Induction Motor Control System

Journal Title: International Research Journal of Applied and Basic Sciences - Year 2012, Vol 3, Issue 7

Abstract

In this paper, the simulation and optimization of induction motor through its controlling and modeling by convert d-q with Simulink of Matlab Software has been developed. By utilization PI controller and also with phase controller has been optimized which membership function center of it has been optimized by new intelligent algorithms such as Emperor and Particle Swarm Optimization (PSO). The obtained results show that obtaining phase points by new intelligent controllers such as Emperor and PSO ones have better results than classic PID and fuzzy controllers. In fact the experimental results show that the error of Emperor Algorithm is lower than PSO. Thus the emperor algorithm optimizes membership function centers of phase controllers better than PSO one.

Authors and Affiliations

Abdolreza Esmaeli| Plasma Physics and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute,aesmaeli@aeoi.org.ir

Keywords

Related Articles

Green synthesize of gold nanoparticle using rosacea flower extract

The synthesis of nanoparticles from biological processes is evolving a new erea of research interests in nanotechnology. Gold nanoparticles are usually synthesized by chemicals which are quite toxic and ammable in nature...

Natural convective boundary-layer flow of a nanofluid past a vertical plate with heat flux condition

The paper analytically investigated the double-diffusive natural convective boundarylayer flow of a nanofluid past a vertical plate with heat flux condition. The diffusive model used for nanofluid included the effects of...

Seed number in canola (Brassica napus L.): Effects of dry matter, crop growth rate, temperature, and photothermal quotient around flowering

Seed number is a function of dry matter accumulation, crop growth rate (CGR), photothermal quotient (PTQ) and temperature during a critical developmental period, which is around flowering in canola (Brassica napus L.). T...

Investigating the effect of consolidated teaching on the academic achievement of the primary 6th grade students

This study was achieved to relate the collaborative, project and traditional consolidated teaching in terms of the academic achievement of the primary 6th grade students in mathematics in the academic year of 2012-13, Di...

Determination Of Fatty Acids In Some Grape Cultivars By Gas Chromatography Mass Spectrometry

In the present study, seeds of five grape varieties, grown in the West Azarbaijan (Iran), were examined for determination of fatty acids composition. The results revealed that grape seeds were rich in linoleic acids, pal...

Download PDF file
  • EP ID EP5056
  • DOI -
  • Views 376
  • Downloads 15

How To Cite

Abdolreza Esmaeli (2012). Using Emperor and Particle Swarm Optimization Algorithm to Optimize Induction Motor Control System. International Research Journal of Applied and Basic Sciences, 3(7), 1381-1390. https://europub.co.uk/articles/-A-5056