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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Brushless DC motors are used in different fields today due to many advantages such as noiseless operation, maintenance cost, efficiency. In recent years, sensorless control techniques related to these engines have been developed and widely used. In addition, conventional controllers do not give the desired results as these motors are non-linear in nature. In this study, the brushless motor was used without a sensor and due to its non-linearity, the Type-2 fuzzy logic controller, which is one of the artificial intelligence techniques, was used to better resolve the uncertainties in the system. In simulation performed in Matlab Simulink, PID, Type-1 and Type-2 Fuzzy Logic controller results were compared and as a result, it was observed that Type-2 Fuzzy Logic controller gave the most desired response in the system response.

Sensorless Brushless DC Motor Control Using Type-2 Fuzzy Logic