电气传动2025，Vol.55Issue(10)：12-18,7.DOI:10.19457/j.1001-2095.dqcd26011
一种基于超局部模型的无模型顺序预测控制方法
A Novel Model-free Sequential Predictive Control Method for Inverters Based on the Ultra-local Model
摘要
Abstract
To address the parameter dependency issues present in traditional model predictive control algorithms,a novel model predictive control method that employed an ultra-local model and updated its parameters in real-time using the recursive least squares(RLS)method was proposed.This approach eliminated the dependence on parameters in model predictive control methods and enhanced their robustness.Additionally,addressing the lack of universal rules and reliance on experience in selecting weighting factors in the predictive control cost function,a sequential prediction-based control method that achieves desired performance without the need to choose weighting factors was utilized.Finally,the effectiveness and robustness of the method were validated through simulations in Matlab/Simulink on a three level-active neutral point clamped(3L-ANPC)inverter.关键词
无模型预测控制/递归最小二乘法/三电平ANPC逆变器/超局部模型/顺序预测控制Key words
model-free predictive control(MFPC)/recursive least squares(RLS)method/three level-active neutral point clamped(3L-ANPC)inverter/ultra-local model/sequential predictive control分类
信息技术与安全科学引用本文复制引用
史明明,刘瑞煌,王鑫达,汪家铭,张宸宇..一种基于超局部模型的无模型顺序预测控制方法[J].电气传动,2025,55(10):12-18,7.基金项目
国网江苏省电力有限公司科技项目(J2023008) （J2023008）
