电气传动2025，Vol.55Issue(6)：45-55,11.DOI:10.19457/j.1001-2095.dqcd25564
基于噪声抑制的永磁同步风机鲁棒预测控制
Robust Predictive Control of PMSG Based on Noise Suppression
苗云涛 1王成贤 1李俊达 2谷加腾 2张祯滨2
作者信息
- 1. 中车山东风电有限公司风电装备研究所,山东 济南 250022
- 2. 山东大学电气工程学院,山东 济南 250061
- 折叠
摘要
Abstract
Model predictive control(MPC)is an effective control strategy for permanent magnet synchronous generators(PMSG)due to its fast dynamic response and multi-objective optimization capabilities.However,MPC relies on accurate system models and sensor measurements.In practical conditions,parameter mismatch caused by PMSG parameter variations and sensor measurement noise can deteriorate the control performance of MPC.Robust predictive control based on extended state observer(ESO)can effectively deal with parameter mismatch.However,a single-gain ESO is difficult to balance parameter mismatch and measurement noise disturbance.Therefore,a robust predictive control method based on hybrid cascade parallel ESO(CPESO)was proposed,which used multiple sub-ESOs in series and parallel to weight system disturbances and observed values for noise suppression.This method can effectively balance parameter mismatch and measurement noise suppression.Finally,under conditions with parameter mismatch and measurement noise,experiments were conducted on a three-level PMSG test bench to verify the effectiveness of the proposed method.关键词
永磁同步发电机/模型预测控制/噪声抑制/干扰抑制/鲁棒控制Key words
permanent magnet synchronous generator(PMSG)/model predictive control(MPC)/noise suppression/disturbance rejection/robust control分类
动力与电气工程引用本文复制引用
苗云涛,王成贤,李俊达,谷加腾,张祯滨..基于噪声抑制的永磁同步风机鲁棒预测控制[J].电气传动,2025,55(6):45-55,11.
