PI Based ANFIS Controller Design for PMSM Drives

Ipek Kuvvetli, Alper Tap, Lale T. Ergene

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper shows a performance analysis and comparison of two types of speed controllers for a Permanent Magnet Synchronous Motor (PMSM) drive. The most popular speed control technique for PMSMs is the conventional PI control integrated with Field Oriented Control (FOC). However, the non-linearity in the PMSM makes the conventional PI gain settings a challenging task and, this may result in an undesired overshoot. This paper presents more robust and enhanced performance characteristics using Adaptive Neuro Fuzzy Inference System (ANFIS) speed controller instead of a PI structure. The proposed system requires the extraction of training data from a PMSM dynamic model with a conventional PI controller. The performance results for both controllers under the different operating conditions are evaluated in the MATLAB environment.

Original languageEnglish
Title of host publication2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages383-387
Number of pages5
ISBN (Electronic)9786050114379
DOIs
Publication statusPublished - 2021
Event13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey
Duration: 25 Nov 202127 Nov 2021

Publication series

Name2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

Conference

Conference13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Country/TerritoryTurkey
CityVirtual, Bursa
Period25/11/2127/11/21

Bibliographical note

Publisher Copyright:
© 2021 Chamber of Turkish Electrical Engineers.

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