{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:45:51Z","timestamp":1776811551492,"version":"3.51.2"},"reference-count":17,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2022,12,19]]},"abstract":"<jats:p>In order to solve the problems of high control error, large maximum output torque and long control time in the traditional full speed range sensorless control method of high-speed permanent magnet synchronous motor, a full speed range sensorless control method of high-speed permanent magnet synchronous motor based on neural network is proposed in this paper. Analyze the range of stator current trajectory in rotor coordinate system, so as to build the discrete model of permanent magnet synchronous motor, and build the whole process control model of high-speed permanent magnet synchronous motor by using neural network algorithm. Through the design of observer, overall control structure and speed regulation range of non inductance control, the goal of non inductance control in the full speed range of high-speed permanent magnet synchronous motor is achieved. The experimental results show that the non inductive control error in the full speed range of the high-speed permanent magnet synchronous motor is 0.2, the maximum output torque is 420 N\u22c5m, and reaches 2000\u00a0r\/min at 0.6\u00a0s. The practical application effect is good.<\/jats:p>","DOI":"10.3233\/jcm-226419","type":"journal-article","created":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T11:30:50Z","timestamp":1662118250000},"page":"1875-1886","source":"Crossref","is-referenced-by-count":0,"title":["Inductionless control of high speed permanent magnet synchronous motor in full speed range based on neural network"],"prefix":"10.66113","volume":"22","author":[{"given":"Tianjuan","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"issue":"1","key":"10.3233\/JCM-226419_ref1","first-page":"1","article-title":"A robust high-speed sliding mode control of permanent magnet synchronous motor based on simplified hysteresis current comparison","volume":"12","author":"Chinaeke-Ogbuka","year":"2021","journal-title":"Int J Power Electr Drive Syst."},{"issue":"10","key":"10.3233\/JCM-226419_ref2","doi-asserted-by":"crossref","first-page":"253","DOI":"10.3390\/act10100253","article-title":"Fault-tolerant control of a three-phase permanent magnet synchronous motor for lightweight UAV propellers via central point drive","volume":"10","author":"Galatolo","year":"2021","journal-title":"Actuators."},{"issue":"3","key":"10.3233\/JCM-226419_ref3","doi-asserted-by":"crossref","first-page":"394","DOI":"10.30684\/etj.v39i3A.1765","article-title":"Design and performance analysis of permanent magnet synchronous motor for electric vehicles application","volume":"39","author":"Bdewi","year":"2021","journal-title":"Eng Technol J."},{"issue":"3","key":"10.3233\/JCM-226419_ref4","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.3390\/app11031325","article-title":"Parameters identification of the fractional-order permanent magnet synchronous motor models using chaotic ensemble particle swarm optimizer","volume":"11","author":"Yousri","year":"2021","journal-title":"Appl Sci."},{"issue":"3","key":"10.3233\/JCM-226419_ref5","first-page":"7512804","article-title":"Electromagnetic and thermal analysis of permanent-magnet synchronous motors for cooperative robot applications","volume":"56","author":"Thi","year":"2020","journal-title":"IEEE Trans Magn."},{"issue":"20","key":"10.3233\/JCM-226419_ref6","first-page":"108","article-title":"Optimization of non-inductive vector control algorithm for high speed permanent magnet synchronous motors in full speed range","author":"Wei","year":"2019","journal-title":"Electr Power Syst Equip."},{"key":"10.3233\/JCM-226419_ref7","doi-asserted-by":"crossref","unstructured":"Usama M, Kim J. 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