Identification of switched reluctance machine inductance using artificial neuronal network-Reference-Cited by-同舟云学术

Identification of switched reluctance machine inductance using artificial neuronal network

Published:2022-03-03 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
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Author:

Oubouaddi Hafid¹,Ouannou Abdelmalek¹,Kadi Laila¹,Brouri Adil¹

Affiliation:

1. Moulay Ismail University,SECNDCM Team, L2MC Laboratory ENSAM,Meknes,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9737723/9737738/09737988.pdf?arnumber=9737988

Reference23 articles.

1. Neural network-based modeling and parameter identification of switched reluctance motors

2. Identification of Hammerstein–Wiener models with hysteresis front nonlinearities

3. Nonlinear Numerical Study of Mutual Inductances for Switched Reluctance Machine;kadi;Proceedings of the 1st International Conference on Electronic Engineering and Renewable Energy,0

4. Electric Vehicle Machines and Drives

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