Artificial intelligence and PI gain optimisation for sensorless indirect vector control of induction motor-based electric vehicle drives
Author:
Affiliation:
1. Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India
2. Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/01430750.2024.2315485
Reference64 articles.
1. Comparison of fuzzy inference system (FIS), FIS with artificial neural networks (FIS + ANN) and FIS with adaptive neuro-fuzzy inference system (FIS + ANFIS) for inventory control
2. Agrawal Sumitra N. and Shubhada P. Muley. 2018. “MRAS Based Speed Sensorless Vector Control of Induction Motor.” Proceedings of the 2nd International Conference on Communication and Electronics Systems: 69–72.
3. Speed Sensorless Vector Control of Induction Motors Using Rotor Flux Based Model Reference Adaptive System;Ahmed Aamir Hashim Obeid.;SUST Journal of Engineering and Computer Science (JECS),2015
4. IMPLEMENTATION OF PI, FUZZY & ANN CONTROLLERS TO IMPROVE DYNAMIC RESPONSE OF VECTOR CONTROLLED INDUCTION MOTOR DRIVE
5. Robust sensorless vector control of an induction machine using Multiobjective Adaptive Fuzzy Luenberger Observer
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