{"title":"Minimal overshoot direct torque control for permanent magnet synchronous motors using Hybrid Bacteria Foraging-Particle Swarm Optimization","authors":"E. Bayoumi","doi":"10.1109/CICA.2013.6611671","DOIUrl":null,"url":null,"abstract":"This paper presents a robust torque, flux and speed controller's design method for permanent magnet synchronous motor (PMSM) drive using Direct Torque Control (DTC). A simple algorithm is presented to adjust the parameters of torque, flux and speed controllers. This mini-max optimization problem is solved using Hybrid Bacteria Foraging-Particle Swarm Optimization Approach (BF-PSO). The solution thus obtained is global optimal and robust. The proposed technique eliminates common problems including; torque ripples, low speed and integration drift. As well as it characterized by fast tracking capability, minimal overshoot responses, and robust to load disturbances and low speed operation. Results prove the effectiveness and viability of the proposed technique.","PeriodicalId":424622,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA)","volume":"747 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICA.2013.6611671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper presents a robust torque, flux and speed controller's design method for permanent magnet synchronous motor (PMSM) drive using Direct Torque Control (DTC). A simple algorithm is presented to adjust the parameters of torque, flux and speed controllers. This mini-max optimization problem is solved using Hybrid Bacteria Foraging-Particle Swarm Optimization Approach (BF-PSO). The solution thus obtained is global optimal and robust. The proposed technique eliminates common problems including; torque ripples, low speed and integration drift. As well as it characterized by fast tracking capability, minimal overshoot responses, and robust to load disturbances and low speed operation. Results prove the effectiveness and viability of the proposed technique.