A recurrent wavelet neural network controller with improved particle swarm optimization for linear synchronous motor drive

Faa Jeng Lin, Li Tao Teng, Hen Chu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A recurrent wavelet neural network (RWNN) controller is proposed in this study to control the mover of a permanent magnet linear synchronous motor (PMLSM) servo drive to track periodic reference trajectories. First, the dynamic model of the PMLSM drive system is derived. Next, an RWNN controller is proposed to control the PMLSM. Moreover, the connective weights, translations and dilations of the RWNN are trained online by back-propagation (BP) method. Furthermore, an improved particle swarm optimization (IPSO) is adopted to adapt the learning rates of the RWNN to improve the learning capability. Finally, the control performance of the proposed RWNN controller with IPSO is verified by some experimental results.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Electrical Machines and Systems, ICEMS 2008
Pages948-953
Number of pages6
StatePublished - 2008
Event11th International Conference on Electrical Machines and Systems, ICEMS 2008 - Wuhan, China
Duration: 17 Oct 200820 Oct 2008

Publication series

NameProceedings of the 11th International Conference on Electrical Machines and Systems, ICEMS 2008

Conference

Conference11th International Conference on Electrical Machines and Systems, ICEMS 2008
Country/TerritoryChina
CityWuhan
Period17/10/0820/10/08

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