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

This article presents an improved artificial neural network (ANN)-based direct torque control (DTC) algorithm for open-end winding induction motor (OEWIM) sensorless drives. The ANN replaces the traditional look-up table and serves as an efficient data storage system, allowing for optimal voltage vector selection based on small values of torque error and flux error for every angular position of the stator flux vector. By replacing the hysteresis controllers, improved torque and flux tracking are achieved with improved transient response. The proposed ANN-based DTC is verified through simulation as well as experimental tests. The experimental results and comparative results are presented.

ANN-Based Improved Direct Torque Control of Open-End Winding Induction Motor