Virtual Current Sensor in the Fault-Tolerant Field-Oriented Control Structure of an Induction Motor Drive

Author:

Adamczyk MichalORCID,Orlowska-Kowalska TeresaORCID

Abstract

Designing electrical drives resistant to the failures of chosen sensors has recently become increasingly popular due to the possibility of their use in fault-tolerant control (FTC) systems including drives for electric vehicles. In this article, a virtual current sensor (VCS) based on an algorithmic method for the reconstruction of the induction motor (IM) phase currents after current sensor faults was proposed. This stator current estimator is based only on the measurements of the DC-bus voltage in the intermediate circuit of the voltage-source inverter (VSI) and a rotor speed. This proposal is dedicated to fault-tolerant vector controlled IM drives, where it is necessary to switch to scalar control as a result of damage to the current sensors. The proposed VCS allows further uninterrupted operation of the direct rotor-field oriented control (DRFOC) of the induction motor drive. The stator current estimator has been presented in the form of equations, enabling its practical implementation in a microprocessor system. Simulation studies of the proposed algorithm in an open and closed-loop DRFOC structure are presented under different operation conditions of the drive system. The experimental verification of the proposed method is also presented and the accuracy of the stator current estimation algorithm is analyzed under various operating conditions of the drive system.

Funder

Wroclaw University of Science and Technology

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference31 articles.

1. Fault Diagnosis and Fault-Tolerant Control of an Electric Vehicle Overactuated

2. Control in Power Electronics—Selected Problems;Kazmierkowski,2002

3. Sensoless Induction Motor Drives;Orlowska-Kowalska,2003

4. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

5. Fault-Diagnosis Applications, Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-Tolerant Systems;Isermann,2011

Cited by 28 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. Compensation of Current Sensor Faults in Vector-Controlled Induction Motor Drive Using Extended Kalman Filters;Electronics;2024-02-03

2. Model predictive control of NPC three-level grid-tied converter based on reconstructed current;Archives of Electrical Engineering;2024-01-02

3. Current sensor fault detection and compensation system for wound rotor synchronous motor based on neural networks;2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific);2023-11-28

4. Experimental Verification of Neural Network-Based Fault Types Classifier for Current Sensors in Induction Motor Drive;2023 International Conference on Electrical Drives and Power Electronics (EDPE);2023-09-25

5. Online Stator and Rotor Resistance Estimation for Current Sensor Fault-Tolerant Control of Induction Motor Drives;2023 International Conference on Electrical Drives and Power Electronics (EDPE);2023-09-25

同舟云学术

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