### Abstract

Originalsprache | englisch |
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Titel | 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe) |

Seiten | 1-10 |

Seitenumfang | 10 |

ISBN (elektronisch) | 978-9-0758-1524-5 |

DOIs | |

Publikationsstatus | Veröffentlicht - Sep 2016 |

Veranstaltung | 18th European Conference on Power Electronics and Applications - Karlsruhe, Karlsruhe, Deutschland Dauer: 5 Sep 2016 → 9 Sep 2016 http://www.epe2016.com/ |

### Konferenz

Konferenz | 18th European Conference on Power Electronics and Applications |
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Kurztitel | EPE'16 ECCE Europe |

Land | Deutschland |

Ort | Karlsruhe |

Zeitraum | 5/09/16 → 9/09/16 |

Internetadresse |

### Fingerprint

### Schlagwörter

- domestic appliances
- finite element analysis
- genetic algorithms
- permanent magnet motors
- small electric machines
- synchronous motors
- electric constants
- electric motor
- geometric constants
- home appliances
- multiobjective genetic algorithm
- permanent magnet synchronous motors
- small variable speed PMSM
- space harmonics
- stator domains
- Analytical models
- Harmonic analysis
- Permanent magnet motors

### Dies zitieren

*2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe)*(S. 1-10) https://doi.org/10.1109/EPE.2016.7695401

**A two-step analytic design and optimization of small variable speed PMSMs for home appliances.** / Martinez Garcia Tenorio, Javier; Krischan, Klaus; Mütze, Annette.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Forschung › Begutachtung

*2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe).*S. 1-10, 18th European Conference on Power Electronics and Applications, Karlsruhe, Deutschland, 5/09/16. https://doi.org/10.1109/EPE.2016.7695401

}

TY - GEN

T1 - A two-step analytic design and optimization of small variable speed PMSMs for home appliances

AU - Martinez Garcia Tenorio, Javier

AU - Krischan, Klaus

AU - Mütze, Annette

PY - 2016/9

Y1 - 2016/9

N2 - This paper presents the design of an inner rotor Permanent Magnet (PM) motor using a two-step approach. The first step consists of retrieving the basic geometric and electric constants using a combination of both an analytic and a multi-objective Genetic Algorithm (GA). This technique allows the most efficient and cheapest motor for a certain type of home appliances application to be found when harmonics are neglected during the optimization design. This assumption implies that iron losses are only relevant in the stator domains. The peculiarity of the optimization of the motor is the fact that the most efficient operating point is located at one tenth of the maximum load of the electric motor. The second step consists of comparing the resulting optimized motor using Finite Element Analysis. This step is crucial to accurately compare the efficiency of the resulting drive with the analytic results. The advantage of using this tool is that we can also include the effect of the different space harmonics in the efficiency computation. These harmonics rotate at a different speed than the rotor and can produce additional losses in the rotor's iron parts. The agreement between the results of the two-step analysis infers that the effect of the space harmonics is not relevant for this drive. The decay of efficiency due to these space harmonics is in the order of 0.05%.

AB - This paper presents the design of an inner rotor Permanent Magnet (PM) motor using a two-step approach. The first step consists of retrieving the basic geometric and electric constants using a combination of both an analytic and a multi-objective Genetic Algorithm (GA). This technique allows the most efficient and cheapest motor for a certain type of home appliances application to be found when harmonics are neglected during the optimization design. This assumption implies that iron losses are only relevant in the stator domains. The peculiarity of the optimization of the motor is the fact that the most efficient operating point is located at one tenth of the maximum load of the electric motor. The second step consists of comparing the resulting optimized motor using Finite Element Analysis. This step is crucial to accurately compare the efficiency of the resulting drive with the analytic results. The advantage of using this tool is that we can also include the effect of the different space harmonics in the efficiency computation. These harmonics rotate at a different speed than the rotor and can produce additional losses in the rotor's iron parts. The agreement between the results of the two-step analysis infers that the effect of the space harmonics is not relevant for this drive. The decay of efficiency due to these space harmonics is in the order of 0.05%.

KW - domestic appliances

KW - finite element analysis

KW - genetic algorithms

KW - permanent magnet motors

KW - small electric machines

KW - synchronous motors

KW - electric constants

KW - electric motor

KW - geometric constants

KW - home appliances

KW - multiobjective genetic algorithm

KW - permanent magnet synchronous motors

KW - small variable speed PMSM

KW - space harmonics

KW - stator domains

KW - Analytical models

KW - Harmonic analysis

KW - Permanent magnet motors

KW - domestic appliances

KW - finite element analysis

KW - genetic algorithms

KW - permanent magnet motors

KW - small electric machines

KW - synchronous motors

KW - electric motor

KW - home appliances

KW - multiobjective genetic algorithm

KW - small variable speed PMSM

KW - space harmonics

KW - analytical models

U2 - 10.1109/EPE.2016.7695401

DO - 10.1109/EPE.2016.7695401

M3 - Conference contribution

SN - 978-1-5090-1410-1

SP - 1

EP - 10

BT - 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe)

ER -