Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.09290 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866918158184480768 |
|---|---|
| author | Arahal, Manuel R. Satué, Manuel G. Rouzbehi, Kumars Colodro, Francisco |
| author_facet | Arahal, Manuel R. Satué, Manuel G. Rouzbehi, Kumars Colodro, Francisco |
| contents | Predictive Stator Current Control (PSCC) has been proposed for control of multi-phase drives. The flexibility offered by the use of a Cost Function has been used to deal with the increased number of phases. However, tuning of the Weighting Factors constitutes a problem. Intensive trial and error tests are usual in this context. Existing on-line selection methods, on the other hand, require large amounts of data and/or complex optimization procedures. The proposal of this paper is a closed-loop scheme that links Weighting Factors to performance indicators. In this way, optimal Weighting Factors are determined for each operating point. Also, changes in reference values for performance indicators are easily tackled. Unlike previous methods, the proposal carries very little computational burden. A case study is developed for a five-phase induction motor and assessed with real experimentation on a laboratory set-up. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_09290 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Weighting Factors Tuning by Direct Feedback in Predictive Control of Multiphase Motors Arahal, Manuel R. Satué, Manuel G. Rouzbehi, Kumars Colodro, Francisco Systems and Control Predictive Stator Current Control (PSCC) has been proposed for control of multi-phase drives. The flexibility offered by the use of a Cost Function has been used to deal with the increased number of phases. However, tuning of the Weighting Factors constitutes a problem. Intensive trial and error tests are usual in this context. Existing on-line selection methods, on the other hand, require large amounts of data and/or complex optimization procedures. The proposal of this paper is a closed-loop scheme that links Weighting Factors to performance indicators. In this way, optimal Weighting Factors are determined for each operating point. Also, changes in reference values for performance indicators are easily tackled. Unlike previous methods, the proposal carries very little computational burden. A case study is developed for a five-phase induction motor and assessed with real experimentation on a laboratory set-up. |
| title | Weighting Factors Tuning by Direct Feedback in Predictive Control of Multiphase Motors |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2510.09290 |