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 language | English |
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| Title of host publication | 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 383-387 |
| Number of pages | 5 |
| ISBN (Electronic) | 9786050114379 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey Duration: 25 Nov 2021 → 27 Nov 2021 |
Publication series
| Name | 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
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Conference
| Conference | 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
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| Country/Territory | Turkey |
| City | Virtual, Bursa |
| Period | 25/11/21 → 27/11/21 |
Bibliographical note
Publisher Copyright:© 2021 Chamber of Turkish Electrical Engineers.
