DSP-based direct neural control for thrust active magnetic bearing learned through adaptive differential evolution

Syuan-Yi Chen, Min Han Song

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

A digital signal processor (DSP)-based direct recurrent wavelet neural network (RWNN) controller is proposed to control the rotor position of a thrust active magnetic bearing (TAMB) system learned through adaptive differential evolution (ADE). First, the dynamic analysis of the TAMB with differential driving mode (DDM) is derived. Subsequently, due to the exact dynamic model of TAMB system is absent; a RWNN is adopted to deal with the highly nonlinear TAMB system for the tracking of reference trajectory. Moreover, Due to the gradient descent method is used in back propagation (BP) to derive the on-line learning algorithm for the RWNN; it may reach the local optimal solution due to the inappropriate initial values. Therefore, an ADE algorithm is adopted to optimize the initial network parameters including connective weights, translations and dilations for the RWNN controller. Finally, a DSP with PowerPC 440 processor and real time VxWorks OS is used for implementing the RWNN-ADE controller for TAMB system. Experimental results show the high-accuracy control performance of the proposed RWNN-ADE controlled TAMB system.

原文英語
主出版物標題CACS 2015 - 2015 CACS International Automatic Control Conference
發行者Institute of Electrical and Electronics Engineers Inc.
頁面96-101
頁數6
ISBN(電子)9781467365734
DOIs
出版狀態已發佈 - 2016 一月 11
事件9th International Automatic Control Conference, CACS 2015 - Yilan, 臺灣
持續時間: 2015 十一月 182015 十一月 20

出版系列

名字CACS 2015 - 2015 CACS International Automatic Control Conference

其他

其他9th International Automatic Control Conference, CACS 2015
國家/地區臺灣
城市Yilan
期間2015/11/182015/11/20

ASJC Scopus subject areas

  • 控制與系統工程
  • 人工智慧

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