{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T19:23:49Z","timestamp":1781205829576,"version":"3.54.1"},"reference-count":34,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T00:00:00Z","timestamp":1731456000000},"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":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:p>This paper presents a hybrid control strategy for an induction motor (IM) organized into two nested loops. In the outer loop, an adaptive artificial neural network-based proportional-integral-derivative (ANN-PID) controller is used for speed control. The ANN-PID is divided into two stages: the first stage includes an adaptive ANN speed estimator, and the second stage includes an adaptation algorithm that fine-tunes both the weights and biases of the ANN estimator and the parameters of the PID controller. In the internal loop, a predictive current controller is used to control IM currents using neural networks. Specifically, the neural predictive controller (NPC) approaches the control problem by presenting it as an optimization problem using a neural predictor for IM currents. The considered objective function includes two elements: the current tracking error and the electromagnetic torque ripple. This function is computed over a given time horizon informed by predictions of IM currents. The particle swarm optimization (PSO) algorithm is applied to determine the optimal solution for this optimization task. The effectiveness of the hybrid control scheme is demonstrated by simulation results obtained using Matlab\/Simulink, highlighting its superiority over conventional control methods. The proposed hybrid control is characterized by a reduction in torque ripple and overshoot, while also showing robustness to variations in load, rotor resistance, and rotor inductance. Comparisons with an ANN controller and a fuzzy PI controller further demonstrate the superior performance of the hybrid controller in handling nonlinear dynamics and maintaining control accuracy under various operating scenarios.<\/jats:p>","DOI":"10.1177\/01423312241277246","type":"journal-article","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T08:36:19Z","timestamp":1731486979000},"page":"1387-1402","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["Advanced hybrid control for induction motor combining ANN-PID speed controller with neural predictive current regulator based on particle swarm optimization"],"prefix":"10.1177","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-2446-4506","authenticated-orcid":false,"given":"Hassan","family":"Rafia","sequence":"first","affiliation":[{"name":"ERERA, National School of Arts and Crafts, Mohammed V University, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamid","family":"Ouadi","sequence":"additional","affiliation":[{"name":"ERERA, National School of Arts and Crafts, Mohammed V University, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fouad","family":"Giri","sequence":"additional","affiliation":[{"name":"ESIX Normandie, University of Caen Normandie, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brahim","family":"El Bhiri","sequence":"additional","affiliation":[{"name":"SMARTiLab Emsi, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,11,13]]},"reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2021.09.374"},{"key":"e_1_3_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asej.2010.09.008"},{"key":"e_1_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3187996"},{"key":"e_1_3_2_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40313-016-0263-1"},{"key":"e_1_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.3390\/pr11102917"},{"issue":"1","key":"e_1_3_2_7_1","first-page":"77","article-title":"Accounting for magnetic saturation in designing a SRM speed controller for torque ripple minimization","volume":"14","author":"Boumaalif Y","year":"2023","unstructured":"Boumaalif Y, Ouadi H (2023) Accounting for magnetic saturation in designing a SRM speed controller for torque ripple minimization. International Journal of Power Electronics and Drive Systems 14(1): 77.","journal-title":"International Journal of Power Electronics and Drive Systems"},{"key":"e_1_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/en13143712"},{"key":"e_1_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2022.108829"},{"key":"e_1_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/03772063.2020.1775502"},{"key":"e_1_3_2_11_1","doi-asserted-by":"publisher","DOI":"10.1093\/ce\/zkad048"},{"key":"e_1_3_2_12_1","doi-asserted-by":"publisher","DOI":"10.1093\/ce\/zkad025"},{"key":"e_1_3_2_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2022.07.340"},{"key":"e_1_3_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEOT.2016.7755323"},{"key":"e_1_3_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.2016.2559940"},{"key":"e_1_3_2_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2023.117309"},{"key":"e_1_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CoDIT58514.2023.10284469"},{"key":"e_1_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCUBEA47591.2019.9129523"},{"key":"e_1_3_2_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.06.040"},{"key":"e_1_3_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/IAS.1999.801662"},{"key":"e_1_3_2_21_1","doi-asserted-by":"publisher","DOI":"10.59247\/jfsc.v1i1.24"},{"key":"e_1_3_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.iswa.2022.200060"},{"key":"e_1_3_2_23_1","doi-asserted-by":"publisher","DOI":"10.9790\/3021-03512530"},{"key":"e_1_3_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/NigeriaComputConf45974.2019.8949624"},{"key":"e_1_3_2_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2009.08.006"},{"key":"e_1_3_2_26_1","first-page":"0361","article-title":"Speed control of induction motors using PI controllers","volume":"7","author":"Raveendra M","year":"2018","unstructured":"Raveendra M, Aswini M (2018) Speed control of induction motors using PI controllers. International Journal of Engineering Sciences & Research 7: 0361\u20130364.","journal-title":"International Journal of Engineering Sciences & Research"},{"key":"e_1_3_2_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107418"},{"key":"e_1_3_2_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asej.2022.102037"},{"key":"e_1_3_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/RTEICT42901.2018.9012353"},{"key":"e_1_3_2_30_1","doi-asserted-by":"publisher","DOI":"10.6113\/JPE.2017.17.3.674"},{"key":"e_1_3_2_31_1","first-page":"87","article-title":"Artificial neural network-based adaptive PID controller design for vertical takeoff and landing model","volume":"2020","author":"Ta\u015f\u00f6ren AE","year":"2020","unstructured":"Ta\u015f\u00f6ren AE, G\u00f6k\u00e7en A, Soydemir MU, et al. (2020) Artificial neural network-based adaptive PID controller design for vertical takeoff and landing model. Avrupa Bilim ve Teknoloji Dergisi 2020: 87\u201393.","journal-title":"Avrupa Bilim ve Teknoloji Dergisi"},{"key":"e_1_3_2_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2023.03.046"},{"key":"e_1_3_2_33_1","doi-asserted-by":"publisher","DOI":"10.3390\/en13051193"},{"key":"e_1_3_2_34_1","doi-asserted-by":"publisher","DOI":"10.23919\/CJEE.2016.7933116"},{"key":"e_1_3_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2016.2582796"}],"container-title":["Transactions of the Institute of Measurement and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/01423312241277246","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/01423312241277246","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/01423312241277246","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T15:11:51Z","timestamp":1777648311000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/01423312241277246"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,13]]},"references-count":34,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2025,4]]}},"alternative-id":["10.1177\/01423312241277246"],"URL":"https:\/\/doi.org\/10.1177\/01423312241277246","relation":{},"ISSN":["0142-3312","1477-0369"],"issn-type":[{"value":"0142-3312","type":"print"},{"value":"1477-0369","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,13]]}}}