Journal of Guangxi Normal University(Natural Science Edition) ›› 2023, Vol. 41 ›› Issue (6): 1-7.doi: 10.16088/j.issn.1001-6600.2023032001

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Chaos Prediction of a Motor System with Two Linearly Coupled Reservoir Computers

MA Qianran, WEI Duqu*   

  1. College of Electronic and Information Engineering, Guangxi Normal University, Guilin Guangxi 541004, China
  • Received:2023-03-20 Revised:2023-04-20 Published:2023-12-04

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Abstract: 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 factor α=0.803.

Key words: permanent magnet synchronous motor (PMSM), linearly coupled, reservoir computing, chaos prediction

CLC Number:  O415.5;TM341
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