{"title":"A New Synergetic Scheme Control of Electric Vehicle Propelled by Six-phase Permanent Magnet Synchronous Motor","authors":"M. K. B. Boumegouas, K. Kouzi","doi":"10.15598/aeee.v20i1.4221","DOIUrl":null,"url":null,"abstract":". Electric Vehicles (EVs) are a promising al-ternative to conventional vehicles powered by internal combustion motors, offering the possibility of reduc-ing CO 2 , pollutants, and noise emissions. As known, the control of such an electric vehicle takes into ac-count several phenomena governing its behavior, which is a complicated problem because of the non-linearities, unmeasured disturbance, and parameters uncertainty of this system. This problem is one of the important challenges facing controller designers. Various control techniques have been proposed to enhance Ev’s performance. On this basis, in this research, a new synergetic scheme of electric vehicles propelled by Six-Phase Permanent Magnet Synchronous Motor (PMSMs) is developed. The synthesis of the proposed Synergetic Controller (SC) is based on the selection of four-manifolds of stator current of PMSMs. The SC provides fast response, asymptotic stability of the closed-loop system in wide range operating condition, and decrease the size of modeled system. Also, the principal feature of SC is that it supports parameters variation. Furthermore, to illustrate the improvements and the performances of the proposed controller, a comparison study between various nonlinear controllers such as Integral Action in Sliding Mode (ISMC), Super Twisting Sliding Mode (STSM), using a dynamic model of the lightweight vehicle under New European Driving Cycle (NEDC) was done. The obtained simulation results under several operating conditions show the efficiency and superiority of the proposed control compared with nonlinear controllers; also, it demon-strates the feasibility of the proposed control approach for real systems.","PeriodicalId":7268,"journal":{"name":"Advances in Electrical and Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Electrical and Electronic Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15598/aeee.v20i1.4221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 4
Abstract
. Electric Vehicles (EVs) are a promising al-ternative to conventional vehicles powered by internal combustion motors, offering the possibility of reduc-ing CO 2 , pollutants, and noise emissions. As known, the control of such an electric vehicle takes into ac-count several phenomena governing its behavior, which is a complicated problem because of the non-linearities, unmeasured disturbance, and parameters uncertainty of this system. This problem is one of the important challenges facing controller designers. Various control techniques have been proposed to enhance Ev’s performance. On this basis, in this research, a new synergetic scheme of electric vehicles propelled by Six-Phase Permanent Magnet Synchronous Motor (PMSMs) is developed. The synthesis of the proposed Synergetic Controller (SC) is based on the selection of four-manifolds of stator current of PMSMs. The SC provides fast response, asymptotic stability of the closed-loop system in wide range operating condition, and decrease the size of modeled system. Also, the principal feature of SC is that it supports parameters variation. Furthermore, to illustrate the improvements and the performances of the proposed controller, a comparison study between various nonlinear controllers such as Integral Action in Sliding Mode (ISMC), Super Twisting Sliding Mode (STSM), using a dynamic model of the lightweight vehicle under New European Driving Cycle (NEDC) was done. The obtained simulation results under several operating conditions show the efficiency and superiority of the proposed control compared with nonlinear controllers; also, it demon-strates the feasibility of the proposed control approach for real systems.