Speed-sensorless vector control of an induction motor using neuralnetwork speed estimation
Seong-Hwan Kim
Tae-Sik Park
Ji-Yoon Yoo
Gwi-Tae Park
Sch. of Electr. & Control Instrum. Eng., Mokpo Nat. Univ., Chonnam;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Jun 2001
Volume: 48,
Issue: 3
On page(s): 609-614
ISSN: 0278-0046
References Cited: 17
CODEN: ITIED6
INSPEC Accession Number: 6951735
Digital Object Identifier: 10.1109/41.925588
Current Version Published: 2002-08-07
Abstract
In this paper, a novel speed estimation method of an induction
motor using neural networks (NNs) is presented. The NN speed estimator
is trained online by using the error backpropagation algorithm, and the
training starts simultaneously with the induction motor working. The
estimated speed is then fed back in the speed control loop, and the
speed-sensorless vector drive is realized. The proposed NN speed
estimator has shown good performance in the transient and steady states,
and also at either variable-speed operation or load variation. The
validity and the usefulness of the proposed algorithm are thoroughly
verified with experiments on fully digitalized 2.2 kW induction motor
drive systems
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