Intelligent Computed Torque Control With Recurrent Legendre Fuzzy Neural Network for Permanent-Magnet Assisted Synchronous Reluctance Motor
Author:
Affiliation:
1. Department of Electrical Engineering, National Central University, Taoyuan City, Taiwan
2. Department of Electrical Engineering, National Taipei University of Technology, Taipei City, Taiwan
Funder
National Science and Technology Council of Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10131686.pdf?arnumber=10131686
Reference26 articles.
1. Interior Permanent Magnet Synchronous Motor Drive System with Machine Learning-Based Maximum Torque per Ampere and Flux-Weakening Control
2. Robust MTPA Control for Steady State Operation of Low-Cost IPMSM Drives
3. Robust Maximum Torque per Ampere (MTPA) Control of PM-Assisted SynRM for Traction Applications
4. Maximum Torque per Ampere Control of Permanent Magnet Assisted Synchronous Reluctance Motor: An Experimental Study
5. Maximum Torque Per Ampere (MTPA) Control for Interior Permanent Magnet Synchronous Machine Drives Based on Virtual Signal Injection
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