Integration of predictive and computational intelligent techniques: A hybrid optimization mechanism for PMSM dynamics reinforcement
This paper presents an integrated approach combining a sequential neural network (SNN) with model predictive control (MPC) to enhance the performance of a permanent magnet synchronous motor (PMSM). We address the challenges of traditional control methods that struggle with the dynamics and nonlinear...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-05-01
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Series: | AIMS Electronics and Electrical Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/electreng.2024012 |
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