{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:32:36Z","timestamp":1770748356052,"version":"3.49.0"},"reference-count":39,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2015,9,23]],"date-time":"2015-09-23T00:00:00Z","timestamp":1442966400000},"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":[[2015,9,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This paper presents a novel approach for robust speed control of medium size induction motors using neuro-fuzzy dynamic sliding mode control. First, a simple dynamic model of induction motors is introduced. Then, a conventional sliding mode control is presented. To reduce the chattering phenomenon, dynamic sliding mode control is designed using a secondary PID-type sliding surface. Moreover, in order to eliminate the tedious trial and error procedure in choosing a proper uncertainty upper bound, uncertainties have been estimated using a neuro-fuzzy system. The online training of the neuro-fuzzy dynamic sliding mode control is based on the adaptation law derived from the stability analysis. In addition, the reconstruction error of the neuro-fuzzy system is compensated to guarantee the asymptotic convergence of the speed tracking error. Simulation results verify that the neuro-fuzzy dynamic sliding mode control is robust against various uncertainties including parametric variations, external load disturbance, unmodeled dynamics and input voltage disturbances.<\/jats:p>","DOI":"10.3233\/ifs-151601","type":"journal-article","created":{"date-parts":[[2015,10,6]],"date-time":"2015-10-06T12:02:18Z","timestamp":1444132938000},"page":"365-376","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Speed control of induction motors using neuro-fuzzy dynamic sliding mode control"],"prefix":"10.1177","volume":"29","author":[{"given":"Mojtaba","family":"Vahedi","sequence":"first","affiliation":[{"name":"Department of Electrical and Robotic Engineering, University of Shahrood, Shahrood, Iran"}]},{"given":"Mohammad","family":"Hadad Zarif","sequence":"additional","affiliation":[{"name":"Department of Electrical and Robotic Engineering, University of Shahrood, Shahrood, Iran"}]},{"given":"Ali","family":"Akbarzadeh Kalat","sequence":"additional","affiliation":[{"name":"Department of Electrical and Robotic Engineering, University of Shahrood, Shahrood, Iran"}]}],"member":"179","published-online":{"date-parts":[[2015,9,23]]},"reference":[{"key":"e_1_3_1_2_2","unstructured":"CochranPL1989Polyphase Induction Motors: Analysis Design and ApplicationsNew YorkMarcel Dekker"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/41.149750"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/37.295967"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/41.84021"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.1986.4504799"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/28.567792"},{"key":"e_1_3_1_8_2","first-page":"14","article-title":"A new control strategy of the induction motor drives: The direct flux and torque control","volume":"45","author":"Buja 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