Cost Function Optimization for Multi-phase Induction Machines Predictive Control
Control of multi-phase induction machines is evolving with the incorporation of predictive controllers that operate directly with the power converter without modulators. It is realized in discrete-time through an exhaustive optimization of the inverter states. The optimization uses a cost function t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
Universitat Politècnica de València
2019-01-01
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| Series: | Revista Iberoamericana de Automática e Informática Industrial RIAI |
| Subjects: | |
| Online Access: | https://polipapers.upv.es/index.php/RIAI/article/view/9771 |
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| Summary: | Control of multi-phase induction machines is evolving with the incorporation of predictive controllers that operate directly with the power converter without modulators. It is realized in discrete-time through an exhaustive optimization of the inverter states. The optimization uses a cost function that penalizes deviations from the reference and other undesired factors. The cost function design has a big impact on closed loop performance. In this paper, a new strategy for cost function design is presented as a contribution. The strategy defines and a performance index relative to the observed behavior. The cost functions are derived from an optimization of said index. Experimental and simulation results are included for a five-phase induction machine with a comparison with previous methods in the context of predictive current control. |
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| ISSN: | 1697-7912 1697-7920 |