Modeling of manufacturing N-phase multiphase motor using orthogonal particle swarm optimization

Jian Long Kuo

doi:10.1007/978-3-642-38703-6_28

Modeling of manufacturing N-phase multiphase motor using orthogonal particle swarm optimization

Jian Long Kuo^*

^*Corresponding author for this work

National Kaohsiung University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper intends to propose an energy functional based modeling technique on an n-phase multiphase motor. In motor control area, the multiphase motor is becoming more and more popular recently. The multiphase can be applied in direct-drive electric vehicle. However, the associated mathematical model for energy functional is seldom discussed. This paper will discuss the modeling of the motor system by energy functional optimization. Orthogonal particle swarm optimization (OPSO) is used to derive the optimal solution set for the dynamic system. The Simulation and experimental results shows the validity of the proposed model. It is believed that the developed system model can be used in the energy functional of the multiphase motor.

Original language	English
Title of host publication	Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings
Pages	232-240
Number of pages	9
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-38703-6_28
State	Published - 2013
Externally published	Yes
Event	4th International Conference on Advances in Swarm Intelligence, ICSI 2013 - Harbin, China Duration: 12 06 2012 → 15 06 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	7928 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Advances in Swarm Intelligence, ICSI 2013
Country/Territory	China
City	Harbin
Period	12/06/12 → 15/06/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Manufacturing
Modeling
Multiphase Motor
Orthogonal Particle Swarm Optimization

Access to Document

10.1007/978-3-642-38703-6_28

Cite this

Kuo, J. L. (2013). Modeling of manufacturing N-phase multiphase motor using orthogonal particle swarm optimization. In Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings (PART 1 ed., pp. 232-240). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7928 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-38703-6_28

Kuo, Jian Long. / Modeling of manufacturing N-phase multiphase motor using orthogonal particle swarm optimization. Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings. PART 1. ed. 2013. pp. 232-240 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Modeling of manufacturing N-phase multiphase motor using orthogonal particle swarm optimization",

abstract = "This paper intends to propose an energy functional based modeling technique on an n-phase multiphase motor. In motor control area, the multiphase motor is becoming more and more popular recently. The multiphase can be applied in direct-drive electric vehicle. However, the associated mathematical model for energy functional is seldom discussed. This paper will discuss the modeling of the motor system by energy functional optimization. Orthogonal particle swarm optimization (OPSO) is used to derive the optimal solution set for the dynamic system. The Simulation and experimental results shows the validity of the proposed model. It is believed that the developed system model can be used in the energy functional of the multiphase motor.",

keywords = "Manufacturing, Modeling, Multiphase Motor, Orthogonal Particle Swarm Optimization",

author = "Kuo, \{Jian Long\}",

year = "2013",

doi = "10.1007/978-3-642-38703-6\_28",

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booktitle = "Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings",

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note = "4th International Conference on Advances in Swarm Intelligence, ICSI 2013 ; Conference date: 12-06-2012 Through 15-06-2012",

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Kuo, JL 2013, Modeling of manufacturing N-phase multiphase motor using orthogonal particle swarm optimization. in Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7928 LNCS, pp. 232-240, 4th International Conference on Advances in Swarm Intelligence, ICSI 2013, Harbin, China, 12/06/12. https://doi.org/10.1007/978-3-642-38703-6_28

Modeling of manufacturing N-phase multiphase motor using orthogonal particle swarm optimization. / Kuo, Jian Long.
Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings. PART 1. ed. 2013. p. 232-240 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7928 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kuo, Jian Long

PY - 2013

Y1 - 2013

N2 - This paper intends to propose an energy functional based modeling technique on an n-phase multiphase motor. In motor control area, the multiphase motor is becoming more and more popular recently. The multiphase can be applied in direct-drive electric vehicle. However, the associated mathematical model for energy functional is seldom discussed. This paper will discuss the modeling of the motor system by energy functional optimization. Orthogonal particle swarm optimization (OPSO) is used to derive the optimal solution set for the dynamic system. The Simulation and experimental results shows the validity of the proposed model. It is believed that the developed system model can be used in the energy functional of the multiphase motor.

AB - This paper intends to propose an energy functional based modeling technique on an n-phase multiphase motor. In motor control area, the multiphase motor is becoming more and more popular recently. The multiphase can be applied in direct-drive electric vehicle. However, the associated mathematical model for energy functional is seldom discussed. This paper will discuss the modeling of the motor system by energy functional optimization. Orthogonal particle swarm optimization (OPSO) is used to derive the optimal solution set for the dynamic system. The Simulation and experimental results shows the validity of the proposed model. It is believed that the developed system model can be used in the energy functional of the multiphase motor.

KW - Manufacturing

KW - Modeling

KW - Multiphase Motor

KW - Orthogonal Particle Swarm Optimization

UR - https://www.scopus.com/pages/publications/84884846189

U2 - 10.1007/978-3-642-38703-6_28

DO - 10.1007/978-3-642-38703-6_28

M3 - 会议稿件

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SN - 9783642387029

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings

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ER -

Kuo JL. Modeling of manufacturing N-phase multiphase motor using orthogonal particle swarm optimization. In Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings. PART 1 ed. 2013. p. 232-240. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-38703-6_28

Modeling of manufacturing N-phase multiphase motor using orthogonal particle swarm optimization

Abstract

Publication series

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UN SDGs

Keywords

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