Optimización de Funciones de Coste para Control Predictivo de Máquinas de Inducción Multifásicas
[EN] 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 funct...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/114269 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/114269 |
| Access Level: | acceso abierto |
| Palabra clave: | Control predictivo Máquinas de inducción Máquinas polifásicas Optimización global Predictive control Induction machines Inverters Multi-phase machines Global optimization |
| Sumario: | [EN] 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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