Novel Speed Sensorless Vector Control with Adaptive Rotor Flux Identification of Induction Motors

Lei Dong; Yongdong Li; Xiaozhong Liao

Novel Speed Sensorless Vector Control with Adaptive Rotor Flux Identification of Induction Motors

Lei Dong^*, Yongdong Li, Xiaozhong Liao

^*Corresponding author for this work

School of Automation

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

Abstract

This paper compares three voltage model observer structures for rotor flux orientation of induction motors, and presents a novel method of speed sensorless vector control at very low speed, which is based on the finite compensating voltage model and the model-reference adaptive system (MRAS) for the estimation of voltage drop across the stator resistance. The accurate rotor flux can be estimated by this novel method in very low speed range, thus the performance of an induction motor is improved when the speed is decreased to very low range. This method is simple and effective, and it needs not any signal injection. The digital simulation results have validated the effectiveness of the proposed algorithm.

Original language	English
Pages	1691-1696
Number of pages	6
Publication status	Published - 2003
Event	The 29th Annual Conference of the IEEE Industrial Electronics Society - Roanoke, VA, United States Duration: 2 Nov 2003 → 6 Nov 2003

Conference

Conference	The 29th Annual Conference of the IEEE Industrial Electronics Society
Country/Territory	United States
City	Roanoke, VA
Period	2/11/03 → 6/11/03

Keywords

Induction motor
MARS
Speed sensorless vector control
Stator resistance identification

Cite this

@conference{1abad703315f4d52b3184f04e3506f46,

title = "Novel Speed Sensorless Vector Control with Adaptive Rotor Flux Identification of Induction Motors",

abstract = "This paper compares three voltage model observer structures for rotor flux orientation of induction motors, and presents a novel method of speed sensorless vector control at very low speed, which is based on the finite compensating voltage model and the model-reference adaptive system (MRAS) for the estimation of voltage drop across the stator resistance. The accurate rotor flux can be estimated by this novel method in very low speed range, thus the performance of an induction motor is improved when the speed is decreased to very low range. This method is simple and effective, and it needs not any signal injection. The digital simulation results have validated the effectiveness of the proposed algorithm.",

keywords = "Induction motor, MARS, Speed sensorless vector control, Stator resistance identification",

author = "Lei Dong and Yongdong Li and Xiaozhong Liao",

year = "2003",

language = "English",

pages = "1691--1696",

note = "The 29th Annual Conference of the IEEE Industrial Electronics Society ; Conference date: 02-11-2003 Through 06-11-2003",

}

TY - CONF

T1 - Novel Speed Sensorless Vector Control with Adaptive Rotor Flux Identification of Induction Motors

AU - Dong, Lei

AU - Li, Yongdong

AU - Liao, Xiaozhong

PY - 2003

Y1 - 2003

N2 - This paper compares three voltage model observer structures for rotor flux orientation of induction motors, and presents a novel method of speed sensorless vector control at very low speed, which is based on the finite compensating voltage model and the model-reference adaptive system (MRAS) for the estimation of voltage drop across the stator resistance. The accurate rotor flux can be estimated by this novel method in very low speed range, thus the performance of an induction motor is improved when the speed is decreased to very low range. This method is simple and effective, and it needs not any signal injection. The digital simulation results have validated the effectiveness of the proposed algorithm.

AB - This paper compares three voltage model observer structures for rotor flux orientation of induction motors, and presents a novel method of speed sensorless vector control at very low speed, which is based on the finite compensating voltage model and the model-reference adaptive system (MRAS) for the estimation of voltage drop across the stator resistance. The accurate rotor flux can be estimated by this novel method in very low speed range, thus the performance of an induction motor is improved when the speed is decreased to very low range. This method is simple and effective, and it needs not any signal injection. The digital simulation results have validated the effectiveness of the proposed algorithm.

KW - Induction motor

KW - MARS

KW - Speed sensorless vector control

KW - Stator resistance identification

UR - http://www.scopus.com/inward/record.url?scp=1442328942&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:1442328942

SP - 1691

EP - 1696

T2 - The 29th Annual Conference of the IEEE Industrial Electronics Society

Y2 - 2 November 2003 through 6 November 2003

ER -

Novel Speed Sensorless Vector Control with Adaptive Rotor Flux Identification of Induction Motors

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this