{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:20:46Z","timestamp":1771003246806,"version":"3.50.1"},"reference-count":19,"publisher":"SAGE Publications","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2021,9,28]]},"abstract":"<jats:p>To improve the control precision of the closed-loop speed regulation of the brushless DC motor (Brushless DC motor, BLDCM) used in hybrid vehicles, the paper established a fuzzy controller for closed loop control of speed, taking the speed difference and the conversion rate of the speed difference as the inputs, and the increment of the supply voltage as the output, and proposed a method of optimizing fuzzy control rules based on genetic algorithm. Established the mathematical model of BLDCM in MATLAB\/Simulink, simulated the traditional PID controller, the fuzzy controller and the fuzzy controller optimized by genetic algorithm. Then the hardware-in-the-loop motor control system is constructed based on dSPACE. The simulation and experiment prove that the optimization of fuzzy rules by genetic algorithm is an effective method to improve the accuracy of speed control, and it has good tracking performance for frequently changing speed requirements in hybrid vehicle.<\/jats:p>","DOI":"10.3233\/jcm-204628","type":"journal-article","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T13:56:20Z","timestamp":1601646980000},"page":"951-968","source":"Crossref","is-referenced-by-count":3,"title":["Control of brushless DC motor based on fuzzy rules optimized by genetic algorithm used in hybrid vehicle"],"prefix":"10.1177","volume":"21","author":[{"given":"Xiaoyan","family":"Niu","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China"}]},{"given":"Guosheng","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China"}]},{"given":"Sumei","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China"}]},{"given":"Yuquan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Heibei Jiaotong Vocational and Technical College, Shijiazhuang, Hebei 050035, China"}]}],"member":"179","reference":[{"issue":"16","key":"10.3233\/JCM-204628_ref1","first-page":"13","article-title":"Development and future prospect of new energy vehicles in China","volume":"17","author":"Wang","year":"2018","journal-title":"Industry and Technology Forum"},{"issue":"3","key":"10.3233\/JCM-204628_ref2","first-page":"25","article-title":"Permanent-magnet brushless DC motor and its control","volume":"27","author":"Xia","year":"2012","journal-title":"Transactions of China Electrotechnical Society"},{"issue":"3","key":"10.3233\/JCM-204628_ref3","first-page":"663","article-title":"The multiple objective optimization of high-speed rotor supported by magnetic bearing in BLDCM","volume":"46","author":"Yuan","year":"2014","journal-title":"Journal of Computational Methods in Sciences and Engineering"},{"issue":"9","key":"10.3233\/JCM-204628_ref4","first-page":"1636","article-title":"Research on improved particle swarm optimization for BLDCM speed control system","volume":"26","author":"Geng","year":"2019","journal-title":"Control Engineering of China"},{"issue":"7","key":"10.3233\/JCM-204628_ref5","first-page":"82","article-title":"Study on simulation of BLDCM double-closed-loop speed control system based on Simulink","volume":"38","author":"Ma","year":"2016","journal-title":"Manufacturing Automation"},{"issue":"1","key":"10.3233\/JCM-204628_ref6","doi-asserted-by":"crossref","first-page":"121","DOI":"10.3233\/JCM-180857","article-title":"Study and analysis on fuzzy quality control for the high-end manufacturing process based on Taguchi quality loss function","volume":"19","author":"Bai","year":"2019","journal-title":"Journal of Computational Methods in Sciences and Engineering"},{"key":"10.3233\/JCM-204628_ref7","unstructured":"X.Y. Wang, L. Tian and H. Feng, Study of fuzzy control on direct torque control for BLDCM, Proceeding of the CSEE 15 (2006), 134\u2013138."},{"issue":"3","key":"10.3233\/JCM-204628_ref8","first-page":"54","article-title":"Simulation analysis of BLDCM based on variable universe fuzzy PID control","volume":"48","author":"Zhang","year":"2020","journal-title":"Small & Special Electrical Machines"},{"key":"10.3233\/JCM-204628_ref9","unstructured":"G.X. Tan, The application of fuzzy control in brushless DC motor for pure electric vehicle, in: IEEE Beijing Section. 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Gowthaman et al., Speed control of permanent magnet brushless DC motor using hybrid fuzzy proportional plus integral plus derivative controller, Energy Procedia 117 (2017), 1101\u20131108.","DOI":"10.1016\/j.egypro.2017.05.234"},{"issue":"3","key":"10.3233\/JCM-204628_ref16","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.asej.2016.02.004","article-title":"Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control","volume":"9","author":"El-samahy","year":"2018","journal-title":"Ain Shams Engineering Journal"},{"key":"10.3233\/JCM-204628_ref17","doi-asserted-by":"crossref","unstructured":"N. Tiwary, A. Rathinam and S. Ajitha, Design of hybrid fuzzy-PI controller for speed control of brushless DC motor, in: International Conference on Electronics, Communication and Instrumentation, Kolkata, India, 2014, pp. 1\u20134.","DOI":"10.1109\/ICECI.2014.6767360"},{"key":"10.3233\/JCM-204628_ref18","unstructured":"L. Xu, Research on matlab simulation for DC motor control method, Modern Electronics Technique 39(3) (2016), 151\u2013154+158."},{"key":"10.3233\/JCM-204628_ref19","first-page":"8","article-title":"Development and application of intelligent fuzzy controller","volume":"36","author":"Zhang","year":"2017","journal-title":"Technology and Economic Guide"}],"container-title":["Journal of Computational Methods in Sciences and Engineering"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JCM-204628","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T16:31:45Z","timestamp":1771000305000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JCM-204628"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,28]]},"references-count":19,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.3233\/jcm-204628","relation":{},"ISSN":["1472-7978","1875-8983"],"issn-type":[{"value":"1472-7978","type":"print"},{"value":"1875-8983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,28]]}}}