摘要
为了解决永磁同步电机混沌时间序列预测的问题,本文提出2个线性耦合的储备池计算模型。通过寻求2个储备池计算中的最佳耦合系数,根据目标系统的时间序列数据能够预测目标系统的混沌行为,而达到预测精度更高,预测时间更长的效果。以永磁同步电机为研究对象,证明了线性耦合储备池计算在耦合系数α=0.803时,预测效果最优秀,误差Δ=9.14×10^(-4)。
In order to solve the problem of chaotic time series prediction of permanent magnet synchronous motors,a model containing two linearly coupled reservoir computers is proposed in this paper.By seeking the optimal coupling coefficients in the two reservoir computers,the chaotic behavior of the target system can be predicted based on the time series data of the target system,while achieving higher prediction accuracy and longer prediction time.Using a PMSM as the object of study,it is demonstrated that the linearly coupled reservoir computers models give the best prediction with an RMSE=9.14×10^(-4)at a coupling factorα=0.803.
作者
马乾然
韦笃取
MA Qianran;WEI Duqu(College of Electronic and Information Engineering,Guangxi Normal University,Guilin Guangxi 541004,China)
出处
《广西师范大学学报（自然科学版）》
CAS
北大核心
2023年第6期1-7,共7页
Journal of Guangxi Normal University:Natural Science Edition
基金
国家自然科学基金(62062014)
广西自然科学基金(2021JJA170004)。
关键词
永磁同步电机(PMSM)
线性耦合
储备池计算
混沌预测
permanent magnet synchronous motor(PMSM)
linearly coupled
reservoir computing
chaos prediction
