TY - JOUR
T1 - Sensorless speed identification of vector - Controlled induction drives via neural network based estimation
AU - Huang, Shyh Jier
AU - Huang, Ching Lien
AU - Lin, Yu Shin
N1 - Funding Information:
The authors would like to express their thanks for the financial support given by the National Science Council of the Republic of China under contract number NSC86-2213-E-214-010.
PY - 1998/12/1
Y1 - 1998/12/1
N2 - An application of neural network technique to sensorless speed identification of vector-controlled induction drives is implemented in this paper. In the proposed scheme, neural networks help estimate the rotor speed through stator measurements, allowing investment on speed sensors to be saved. High performance of this induction drive, however, can be ensured. We evaluated our approach based on the speed response and temperature rise perspectives. Load disturbance effects on the proposed approach were also included. The test results demonstrate the feasibility and superiority of the proposed method for the applications.
AB - An application of neural network technique to sensorless speed identification of vector-controlled induction drives is implemented in this paper. In the proposed scheme, neural networks help estimate the rotor speed through stator measurements, allowing investment on speed sensors to be saved. High performance of this induction drive, however, can be ensured. We evaluated our approach based on the speed response and temperature rise perspectives. Load disturbance effects on the proposed approach were also included. The test results demonstrate the feasibility and superiority of the proposed method for the applications.
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U2 - 10.1016/s0378-7796(98)00072-8
DO - 10.1016/s0378-7796(98)00072-8
M3 - Article
AN - SCOPUS:0032324958
SN - 0378-7796
VL - 48
SP - 1
EP - 10
JO - Electric Power Systems Research
JF - Electric Power Systems Research
IS - 1
ER -