A combined speed estimation scheme for indirect vector-controlled induction motors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
http://link.springer.com/article/10.1007/s00202-018-0699-3/fulltext.html
Reference33 articles.
1. Oukaci A, Toufouti R, Dib D, Atarsia L (2017) Comparison performance between sliding mode control and nonlinear control, application to induction motor. Electr Eng 99:33–45
2. Sung W, Shin J, Jeong Y (2012) Energy-efficient and robust control for high-performance induction motor drive with an application in electric vehicles. IEEE Trans Veh Technol 61(8):3394–3405
3. Nisha GK, Lakaparampil ZV, Ushakumari S (2017) Effect of power factor on torque capability of FOC induction machine in field weakening region for propulsion systems. Electr Eng 99:1065–1072
4. Merabet A, Tanvir AA, Beddek K (2017) Torque and state estimation for real-time implementation of multivariable control in sensorless induction motor drives. IET Electr Power Appl 11(4):653–663
5. Tabbache B, Rizoug N, Benbouzid MEH, Kheloui A (2013) A control reconfiguration strategy for post-sensor FTC in induction motor-based EVs. IEEE Trans Veh Technol 62(3):965–971
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Advanced sliding mode speed observer with compensated stray‐load and iron losses for a stand‐alone wind turbine‐driven induction generator;International Journal of Circuit Theory and Applications;2022-06-11
2. Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor Drives;Journal of Electrical and Computer Engineering;2020-08-01
3. Model-based control algorithm development of induction machines by using a well-defined model architecture and rapid control prototyping;Electrical Engineering;2020-02-10
4. A fault monitoring approach using model-based and neural network techniques applied to input–output feedback linearization control induction motor;Journal of Ambient Intelligence and Humanized Computing;2019-05-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3