Adaptive Cost Function FCSMPC for 6-Phase IMs

Adaptive Cost Function FCSMPC for 6-Phase IMs

In this paper, an adaptive cost function FCSMPC is derived from newly obtained results concerning the distribution of figures of merits used for the assessment of stator current model-based control of multi-phase induction machines. A parameter analysis of FCSMPC is carried out for the case of a six...

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Main Authors: Manuel R. Arahal, Manuel G. Satué, Federico Barrero, Manuel G. Ortega
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Energies
Subjects:
cost function design
model-based predictive control
multi-phase induction machine
pareto dominance
titeica surface
Online Access:https://www.mdpi.com/1996-1073/14/17/5222
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spelling doaj-9004b2c6dcdd444f871fc84af50169482021-09-09T13:42:32ZengMDPI AGEnergies1996-10732021-08-01145222522210.3390/en14175222Adaptive Cost Function FCSMPC for 6-Phase IMsManuel R. Arahal0Manuel G. Satué1Federico Barrero2Manuel G. Ortega3Systems Engineering and Automation Department, University of Seville, 41092 Seville, SpainSystems Engineering and Automation Department, University of Seville, 41092 Seville, SpainElectronic Engineering Department, University of Seville, 41092 Seville, SpainSystems Engineering and Automation Department, University of Seville, 41092 Seville, SpainIn this paper, an adaptive cost function FCSMPC is derived from newly obtained results concerning the distribution of figures of merits used for the assessment of stator current model-based control of multi-phase induction machines. A parameter analysis of FCSMPC is carried out for the case of a six-phase motor. After extensive simulation and Pareto screening, a new structure has been discovered linking several figures of merit. This structure provides an simple explanation for previously reported results concerning the difficulty of cost function tuning for FCSMPC. In addition, the newly discovered link among figures of merit provides valuable insight that can be used for control design. As an application, a new cost function design scheme is derived and tested. This new method avoids the usual and cumbersome procedure of testing many different controller parameters.https://www.mdpi.com/1996-1073/14/17/5222cost function designmodel-based predictive controlmulti-phase induction machinepareto dominancetiteica surface
collection DOAJ
language English
format Article
sources DOAJ
author Manuel R. Arahal
Manuel G. Satué
Federico Barrero
Manuel G. Ortega
spellingShingle Manuel R. Arahal
Manuel G. Satué
Federico Barrero
Manuel G. Ortega
Adaptive Cost Function FCSMPC for 6-Phase IMs
Energies
cost function design
model-based predictive control
multi-phase induction machine
pareto dominance
titeica surface
author_facet Manuel R. Arahal
Manuel G. Satué
Federico Barrero
Manuel G. Ortega
author_sort Manuel R. Arahal
title Adaptive Cost Function FCSMPC for 6-Phase IMs
title_short Adaptive Cost Function FCSMPC for 6-Phase IMs
title_full Adaptive Cost Function FCSMPC for 6-Phase IMs
title_fullStr Adaptive Cost Function FCSMPC for 6-Phase IMs
title_full_unstemmed Adaptive Cost Function FCSMPC for 6-Phase IMs
title_sort adaptive cost function fcsmpc for 6-phase ims
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-08-01
description In this paper, an adaptive cost function FCSMPC is derived from newly obtained results concerning the distribution of figures of merits used for the assessment of stator current model-based control of multi-phase induction machines. A parameter analysis of FCSMPC is carried out for the case of a six-phase motor. After extensive simulation and Pareto screening, a new structure has been discovered linking several figures of merit. This structure provides an simple explanation for previously reported results concerning the difficulty of cost function tuning for FCSMPC. In addition, the newly discovered link among figures of merit provides valuable insight that can be used for control design. As an application, a new cost function design scheme is derived and tested. This new method avoids the usual and cumbersome procedure of testing many different controller parameters.
topic cost function design
model-based predictive control
multi-phase induction machine
pareto dominance
titeica surface
url https://www.mdpi.com/1996-1073/14/17/5222
work_keys_str_mv AT manuelrarahal adaptivecostfunctionfcsmpcfor6phaseims
AT manuelgsatue adaptivecostfunctionfcsmpcfor6phaseims
AT federicobarrero adaptivecostfunctionfcsmpcfor6phaseims
AT manuelgortega adaptivecostfunctionfcsmpcfor6phaseims
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