摘要
文中提出了一种模型预测电流控制算法的平行控制策略。基于被控系统数学模型的特性,文中对每个被控变量设计独立的成本函数,形成平行的控制策略,同时使用自适应的选择策略选择出最优的控制动作。相比与传统的模型预测电流控制算法,新方法消除了权重因子的调节工作并在仿真和实验中取得了更好的控制效果。
A parallel strategy is proposed based on the model predictive current control algorithm.Based on the characteristics of the mathematical model of the controlled system,an independent cost function for each object isdesigned to structure a parallel strategy.And an adaptive selection method is designed to select the optimal action.Compared with the conventional model predictive current control algorithm,the hassle of the weighting factor tuning work is eliminated in the proposed method,and the comparative simulation and experimental tests confirmed the advantages of the proposed method in controlled performance under different conditions.
作者
左昆昆
ZUO Kun-kun(University of Chinese Academy of Sciences,Quanzhou 362200,Fujian Province,China)
出处
《信息技术》
2020年第9期85-89,共5页
Information Technology
关键词
预测电流控制
平行控制
异步电机
predictive current control
parallel control
induction motor
