An Adaptive Speed Estimation Method Based on a Strong Tracking Extended Kalman Filter with a Least-Square Algorithm for Induction Motors-Reference-Cited by-同舟云学术

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An Adaptive Speed Estimation Method Based on a Strong Tracking Extended Kalman Filter with a Least-Square Algorithm for Induction Motors

Published:2017-01-20 Issue:1 Volume:17 Page:149-160
ISSN:1598-2092
Container-title:Journal of Power Electronics
language:en
Short-container-title:Journal of Power Electronics

Author:

Yin Zhonggang,Li Guoyin,Du Chao,Sun Xiangdong,Liu Jing,Zhong Yanru

Publisher

The Korean Institute of Power Electronics

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://ocean.kisti.re.kr/downfile/crosscheck/kipe/JAKO201707457887967.pdf

Cited by 21 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. Current Sensor Fault-Tolerant Control Strategy for Speed-Sensorless Control of Induction Motors Based on Sequential Probability Ratio Test;Electronics;2024-06-25

2. An Adaptive Speed Estimation Method Based on a Reduce-Order Extended Kalman Filter for PMSM Sensorless Drives;2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT);2024-04-26

3. Real-Time Speed Estimation for an Induction Motor: An Automated Tuning of an Extended Kalman Filter Using Voltage–Current Sensors;Sensors;2024-03-07

4. A Practical Study of Basketball Teaching Reform in Colleges and Universities Based on Big Data;Applied Mathematics and Nonlinear Sciences;2023-12-05

5. Speed Sensorless Control of a Bearingless Induction Motor Based on Modified Robust Kalman Filter;Journal of Electrical Engineering & Technology;2023-09-20

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