An Echo State Network Approach for Parameter Variation Robustness Enhancement in FCS-MPC for PMSM Drives

An Echo State Network Approach for Parameter Variation Robustness Enhancement in FCS-MPC for PMSM Drives

Parameter mismatch in model predictive control (MPC) strategies presents significant challenge in permanent magnet synchronous motor (PMSM) control, often leading to reduced tracking accuracy and compromised system stability under dynamic operating conditions. To address above issue, this article pr...

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Bibliographic Details
Main Authors: Xiao Zeng, Jing Li, Pengcheng Yang, Hongda Cai, Yongzhi Zhou, Daren Li
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
model predictive control
permanent magnet synchronous motor
neural network
echo state network
parameter robustness
Online Access:https://www.mdpi.com/2076-3417/15/11/6288
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