摘要
模型预测控制(MPC)因其快速动态响应和多目标优化能力,成为一种有效的永磁同步发电机(PMSG)控制策略。然而,MPC依赖精确的系统模型和传感器测量,在实际工况中,PMSG参数变化造成的参数失配以及传感器测量噪声会恶化MPC的控制效果。基于扩张状态观测器(ESO)的鲁棒预测控制可有效应对参数失配问题。然而,单一增益的ESO难以兼顾参数失配和测量噪声干扰。为此,提出一种基于混合级联并联ESO(CPESO)的鲁棒预测控制,使用多个子ESO进行串并联,对系统扰动和观测值进行加权,进行噪声抑制。该方法可以有效地兼顾参数失配和测量噪声抑制。最后,在具有参数失配和测量噪声的工况下,通过三电平PMSG实验平台进行实验,验证了所提方法的有效性。
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.
作者
苗云涛
王成贤
李俊达
谷加腾
张祯滨
MIAO Yuntao;WANG Chengxian;LI Junda;GU Jiateng;ZHANG Zhenbin(Wind Power Equipment Research Institute,CRRC Shandong Wind Power Co.,Ltd.,Jinan 250022,Shandong,China;School of Electrical Engineering,Shandong University,Jinan 250061,Shandong,China)
出处
《电气传动》
2025年第6期45-55,共11页
Electric Drive
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
permanent magnet synchronous generator(PMSG)
model predictive control(MPC)
noise suppression
disturbance rejection
robust control
