New Control Strategy for PMSM Driven Bucket Wheel Reclaimers using GA-RBF Neural Network and Sliding Mode Control
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| Title | New Control Strategy for PMSM Driven Bucket Wheel Reclaimers using GA-RBF Neural Network and Sliding Mode Control |
| Authors | |
| 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 |
| Publisher | Kaunas University of Technology |
| Date | 2012-06-11 |
| Source | Elektronika ir elektrotechnika Vol 122, No 6 (2012) |
| Rights | Autorių teisės yra apibrėžtos Lietuvos Respublikos autorių teisių ir gretutinių teisių įstatymo 4-37 straipsniuose. |