English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

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.

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