{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:39:35Z","timestamp":1777703975074,"version":"3.51.4"},"reference-count":32,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2018,6,18]],"date-time":"2018-06-18T00:00:00Z","timestamp":1529280000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,8,26]]},"abstract":"<jats:p>This paper models the single and bi-objective brain emotional intelligent controllers for the dual stator winding induction motor (DSWIM) drive. The main purpose of this paper is performance improvement of the DSWIM drive control system and power losses reduction of the inverter in the DSWIM drive at low speeds. In the vector control method, it is difficult to estimate flux at low speeds. To solve the mentioned problem, researchers have used from the free capacity of the two windings of the stator. This paper presents three proposed methods: 1. Using the idea of rotor flux compensation based on classical PI controller at low speeds, the motor works in its standard operating mode; 2. Proposed Method 1 is reformed and improved based on the bi-objective brain emotional controller; and 3. Proposed Method 2 is improved using single-objective brain emotional controller in the speed control loops of the DSWIM drive. The proposed methods are simulated in MATLAB\/Simulink software.<\/jats:p>","DOI":"10.3233\/jifs-169704","type":"journal-article","created":{"date-parts":[[2018,6,19]],"date-time":"2018-06-19T15:04:49Z","timestamp":1529420689000},"page":"1671-1683","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Modeling of single and bi-objective brain emotional intelligent controllers for improved performance of the dual stator winding induction motor drive at low speeds"],"prefix":"10.1177","volume":"35","author":[{"given":"Hojat","family":"Moayedirad","sequence":"first","affiliation":[{"name":"Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran"}]},{"given":"Mohammad Ali","family":"Shamsi Nejad","sequence":"additional","affiliation":[{"name":"Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran"}]}],"member":"179","published-online":{"date-parts":[[2018,6,18]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2571682"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2015.2447731"},{"issue":"2","key":"e_1_3_2_4_2","first-page":"197","article-title":"Stator resistance estimation using ANN inDTC IM drives","volume":"18","author":"Aktas M.","year":"2010","unstructured":"AktasM., and OkumusH.I., Stator resistance estimation using ANN inDTC IM drives, Turkish Journal of Electrical Engineering andComputer Sciences18 (2) (2010), 197\u2013210.","journal-title":"Turkish Journal of Electrical Engineering andComputer Sciences"},{"key":"e_1_3_2_5_2","unstructured":"BoseB.K. Modern power electronics and AC drives. 1nd. NewJersey NJ USA: Upper Saddle River (2002)."},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2409800"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-130867"},{"issue":"4","key":"e_1_3_2_8_2","first-page":"322","article-title":"A novel technique for tuning PI controllers in inductionmotor drive systems for electric vehicle applications","volume":"6","author":"Elwer A.S.","year":"2006","unstructured":"ElwerA.S., A novel technique for tuning PI controllers in inductionmotor drive systems for electric vehicle applications, Journalof Power Electronics6 (4) (2006), 322\u2013329.","journal-title":"Journalof Power Electronics"},{"key":"e_1_3_2_9_2","unstructured":"FarshadM. and LucasC. Intelligent modeling and control ofswitched reluctance motor for washing machine application Ph.D.Dissertation University of Tehran Iran 2006."},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2008.05.024"},{"issue":"3","key":"e_1_3_2_11_2","first-page":"787","article-title":"Total air gap flux minimization in dualstator winding induction machines","volume":"24","author":"Guerrero J.M.","year":"2009","unstructured":"GuerreroJ.M. and OjoO., Total air gap flux minimization in dualstator winding induction machines, IEEE Transactions PowerElectronics24 (3) (2009), 787\u2013795.","journal-title":"IEEE Transactions PowerElectronics"},{"issue":"5","key":"e_1_3_2_12_2","first-page":"969","article-title":"New integration algorithms for estimating motorflux over a wide speed range","volume":"13","author":"Hu J.","year":"1998","unstructured":"HuJ.and WuB., New integration algorithms for estimating motorflux over a wide speed range, IEEE Transactions on PowerElectronics13 (5) (1998), 969\u2013976.","journal-title":"IEEE Transactions on PowerElectronics"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.3906\/elk-1208-31"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2015.07.035"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2017.03.058"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2011.02.016"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/28.55972"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2004.03.013"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3120.003.0041"},{"issue":"4","key":"e_1_3_2_20_2","first-page":"35","article-title":"Improvement ofspeed profile in induction motor drive using a new idea of PWMpulses generation base on artificial neural networks","volume":"2","author":"Moayedirad H.","year":"2012","unstructured":"MoayediradH., FarshadM., and Shamsi NejadM.A., Improvement ofspeed profile in induction motor drive using a new idea of PWMpulses generation base on artificial neural networks, Intelligent Systems in Electrical Engineering2 (4) (2012), 35\u201346.","journal-title":"Intelligent Systems in Electrical Engineering"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/28.871286"},{"issue":"2","key":"e_1_3_2_22_2","first-page":"107","article-title":"Neural control ofthe induction motor drive: Robust against rotor and statorresistances variations and suitable for very low and high speeds","volume":"9","author":"Moayedirad H.","year":"2011","unstructured":"MoayediradH., ShamsinejadM.A., and FarshadM., Neural control ofthe induction motor drive: Robust against rotor and statorresistances variations and suitable for very low and high speeds, Iranian Journal of Electrical and Computer Engineering9 (2) (2011), 107\u2013113.","journal-title":"Iranian Journal of Electrical and Computer Engineering"},{"key":"e_1_3_2_23_2","unstructured":"NovotnyD.W. and LipoT.A. Vector control and dynamics of ACdrives. 1nd. New York USA: Oxford University Press Inc. (1997)."},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/APEX.2007.357519"},{"issue":"5","key":"e_1_3_2_25_2","first-page":"853","article-title":"Simultaneous rotor and stator resistance estimation of squirrel cage induction machine with a single extended Kalman filter","volume":"18","author":"Ozsoy E.S.","year":"2010","unstructured":"OzsoyE.S., GokasM., and BogosyanS., Simultaneous rotor and stator resistance estimation of squirrel cage induction machine with a single extended Kalman filter, Turkish Journal of Electrical Engineering and Computer Sciences18 (5) (2010), 853\u2013863.","journal-title":"Turkish Journal of Electrical Engineering and Computer Sciences"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2008.926058"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.02.007"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2008.2002206"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-151552"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2014.2328617"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-131047"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2006.890020"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1109\/JESTPE.2016.2597003"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169704","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-169704","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169704","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:40:07Z","timestamp":1777455607000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-169704"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,18]]},"references-count":32,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2018,8,26]]}},"alternative-id":["10.3233\/JIFS-169704"],"URL":"https:\/\/doi.org\/10.3233\/jifs-169704","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,18]]}}}