控制理论(社会学)
模型预测控制
稳健性(进化)
计算机科学
永磁同步电动机
跟踪误差
观察员(物理)
递归最小平方滤波器
均方预测误差
控制工程
工程类
算法
控制(管理)
自适应滤波器
磁铁
人工智能
物理
基因
机械工程
量子力学
化学
生物化学
作者
Dongliang Ke,Fengxiang Wang,Xingwang Yu,S. Alireza Davari,Ralph Kennel
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2024-03-01
卷期号:71 (3): 2242-2252
标识
DOI:10.1109/tie.2023.3269476
摘要
To achieve high robustness and performance, this paper proposes an enhanced observer based on a predictive error model for deadbeat predictive current control method (DPCC-PEMO). Firstly, the mathematical model of permanent magnet synchronous motor (PMSM), deadbeat predictive current control (DPCC) method and disturbance analysis are presented. Secondly, to estimate the trend of current variation in advance under non-linear disturbance effect of model mismatch, the predictive error model is designed based on recursive least squares (RLS) algorithm. Furthermore, the enhanced observer combined with the predictive error model (PEMO) is proposed and its stability and high convergence are proved. Finally, utilizing the PEMO, the predictive current model is established and the proposed DPCC method is developed. The experimental results validate the strong robustness and excellent dynamic tracking performance of proposed method in PMSM systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI