基于NG-RC电机系统的混沌预测  

Chaos Prediction of Motor System Based on NG⁃RC

作　　者：曹文鑫 韦笃取[1] CAO Wenxin;WEI Duqu(College of Electronic Engineering,Guangxi Normal University,Guilin,Guangxi 541004,China)

机构地区：[1]广西师范大学电子工程学院,广西桂林541004

出　　处：《计算物理》2023年第4期519-526,共8页Chinese Journal of Computational Physics

基　　金：国家自然科学基金(62062014);广西自然科学基金(2021JJA170004)资助项目。

摘　　要：基于下一代储备池计算实现电机系统混沌预测,并能够基于已有数据预测未知变量数据。与传统储备池计算相比,下一代储备池计算所采用数据本身直接连接,需要的训练数据集更小。并且下一代储备池计算通过高维转换避免了传统储备池网络复杂的参数优化计算,使得计算速度实现大幅提升。这一研究结果为电机系统混沌预测提供一种研究思路。In this paper,chaos prediction of motor system is realized based on the next generation reservoir computing,and unknown variable data can be predicted based on existing data.Compared with the traditional reservoir computing,the next generation reservoir computing uses direct connection of data itself and requires smaller training data sets.And the next generation reservoir computing avoids the complex parameter optimization calculation of traditional reserve pool network through high⁃dimensional conversion,which greatly improves the computing speed.This research result provides a new research idea for chaotic prediction of motor systems.

关 键 词：下一代储备池计算 永磁同步电机系统 混沌预测 

分 类 号：TM351[电气工程—电机]