New Control Strategy for PMSM Driven Bucket Wheel Reclaimers using GA-RBF Neural Network and Sliding Mode Control

Authors

  • Li Qin Wuhan University of Technology
  • Xincong Zhou Wuhan University of Technology
  • Pengju Cao Wuhan University of Technology

DOI:

https://doi.org/10.5755/j01.eee.122.6.1834

Abstract

The intelligent vector control for the permanent magnet synchronous motor (PMSM) drived bucket wheel reclaimers is presented. Two sliding mode variable structure (SMVS) controllers were designed for the control of the position loop and speed loop of the PMSM. To eliminate the slding chattering, the genetic algorithm optimized RBF network was employed for the SMVS in the speed loop. The hardware in-the-loop simulations using the DSPACE platform has validated the efficiency of the proposed control method. Ill. 6, bibl. 7 (in English; abstracts in English and Lithuanian).

DOI: http://dx.doi.org/10.5755/j01.eee.122.6.1834

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Published

2012-06-07

How to Cite

Qin, L., Zhou, X., & Cao, P. (2012). New Control Strategy for PMSM Driven Bucket Wheel Reclaimers using GA-RBF Neural Network and Sliding Mode Control. Elektronika Ir Elektrotechnika, 122(6), 113-116. https://doi.org/10.5755/j01.eee.122.6.1834

Issue

Vol. 122 No. 6 (2012)

Section

ELECTRICAL ENGINEERING

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