Application of a recurrent wavelet fuzzy-neural network in the positioning control of a magnetic-bearing mechanism

Syuan-Yi Chen, Ying Chih Hung, Yi-xuan Hong, Chien Hsun Wu

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

A new recurrent wavelet fuzzy neural network (RWFNN) with adaptive learning rates is proposed to control the rotor position on the axial direction of a thrust magnetic bearing (TMB) mechanism in this study. First, the dynamic analysis of the TMB with differential driving mode (DDM) is derived. Because the dynamic characteristics and system parameters of the TMB mechanism are high nonlinear and time-varying, the RWFNN, which integrates wavelet transforms with fuzzy rules, is proposed to achieve precise positioning control of the TMB. For the designed RWFNN controller, the online learning algorithm is derived using back-propagation method. Moreover, since the improper selection of learning rates for the RWFNN will deteriorate the control performance, an improved particle swarm optimization (IPSO) is adopted to adapt the learning rates of the RWFNN on-line. Numerical simulations show the validity of TMB system using the proposed RWFNN controller with IPSO under the occurrence of uncertainties.

Original languageEnglish
Pages (from-to)147-158
Number of pages12
JournalComputers and Electrical Engineering
Volume54
DOIs
Publication statusPublished - 2016 Aug 1

Fingerprint

Magnetic bearings
Fuzzy neural networks
Thrust bearings
Particle swarm optimization (PSO)
Controllers
Fuzzy rules
Backpropagation
Dynamic analysis
Wavelet transforms
Learning algorithms
Rotors
Computer simulation

Keywords

  • Fuzzy Neural Network (FNN)
  • Magnetic Bearing (MB)
  • Particle Swarm Optimization (PSO)
  • Positioning control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Application of a recurrent wavelet fuzzy-neural network in the positioning control of a magnetic-bearing mechanism. / Chen, Syuan-Yi; Hung, Ying Chih; Hong, Yi-xuan; Wu, Chien Hsun.

In: Computers and Electrical Engineering, Vol. 54, 01.08.2016, p. 147-158.

Research output: Contribution to journalArticle

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