Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit

Qiaoyu Yin; Weili Li; Xiaochen Zhang; Feiyang Huo

doi:10.1109/BICTA.2010.5645153

Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit

Qiaoyu Yin^*
, Weili Li
, Xiaochen Zhang
, Feiyang Huo

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

In this paper, a new kind of quantum particle swarm algorithm for continuous space optimization is proposed, in which quantum computation is introduced into PSO. The particles can be described as superposition of multiple states. Quantum bits are updated by quantum rotation gates, and mutated by quantum non-gates. The numerical simulation results show that the new algorithm has better stability, global search capability and faster convergence rate than classical PSO and GA. Furthermore, the new algorithm is applied to the structure optimization of 37kW energy-saving motor used in beam pumping unit successfully. The main structure parameters of motor are selected as optimal variables. And the performance of motor is chosen as constraint conditions. Motor efficiency is selected as optimization goal. The optimized energy-saving motor, which is more energy efficient and materials saving, meets the requirements of periodic pulsating variable load, low load and energy saving in oil field.

Original language	English
Title of host publication	Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing
Subtitle of host publication	Theories and Applications, BIC-TA 2010
Pages	1231-1235
Number of pages	5
DOIs	https://doi.org/10.1109/BICTA.2010.5645153
Publication status	Published - 2010
Externally published	Yes
Event	2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010 - Changsha, China Duration: 23 Sept 2010 → 26 Sept 2010

Publication series

Name	Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

Conference

Conference	2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
Country/Territory	China
City	Changsha
Period	23/09/10 → 26/09/10

UN SDGs

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

SDG 7 Affordable and Clean Energy

Free Keywords

Beam pumping unit
Continuous quantum particle swarm optimization
Optimal design
Paswarm optimization

ASJC Scopus subject areas

Biotechnology
Computational Theory and Mathematics
Electrical and Electronic Engineering

Access to Document

10.1109/BICTA.2010.5645153

Cite this

Yin, Q., Li, W., Zhang, X., & Huo, F. (2010). Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit. In Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010 (pp. 1231-1235). Article 5645153 (Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010). https://doi.org/10.1109/BICTA.2010.5645153

Yin, Qiaoyu ; Li, Weili ; Zhang, Xiaochen et al. / Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit. Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010. 2010. pp. 1231-1235 (Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010).

@inproceedings{ed16e5f96e804b40825aea73ef719322,

title = "Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit",

abstract = "In this paper, a new kind of quantum particle swarm algorithm for continuous space optimization is proposed, in which quantum computation is introduced into PSO. The particles can be described as superposition of multiple states. Quantum bits are updated by quantum rotation gates, and mutated by quantum non-gates. The numerical simulation results show that the new algorithm has better stability, global search capability and faster convergence rate than classical PSO and GA. Furthermore, the new algorithm is applied to the structure optimization of 37kW energy-saving motor used in beam pumping unit successfully. The main structure parameters of motor are selected as optimal variables. And the performance of motor is chosen as constraint conditions. Motor efficiency is selected as optimization goal. The optimized energy-saving motor, which is more energy efficient and materials saving, meets the requirements of periodic pulsating variable load, low load and energy saving in oil field.",

keywords = "Beam pumping unit, Continuous quantum particle swarm optimization, Optimal design, Paswarm optimization",

author = "Qiaoyu Yin and Weili Li and Xiaochen Zhang and Feiyang Huo",

year = "2010",

doi = "10.1109/BICTA.2010.5645153",

language = "English",

isbn = "9781424464388",

series = "Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010",

pages = "1231--1235",

booktitle = "Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing",

note = "2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010 ; Conference date: 23-09-2010 Through 26-09-2010",

}

Yin, Q, Li, W, Zhang, X & Huo, F 2010, Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit. in Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010., 5645153, Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, pp. 1231-1235, 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, Changsha, China, 23/09/10. https://doi.org/10.1109/BICTA.2010.5645153

Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit. / Yin, Qiaoyu; Li, Weili; Zhang, Xiaochen et al.
Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010. 2010. p. 1231-1235 5645153 (Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010).

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

TY - GEN

T1 - Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit

AU - Yin, Qiaoyu

AU - Li, Weili

AU - Zhang, Xiaochen

AU - Huo, Feiyang

PY - 2010

Y1 - 2010

N2 - In this paper, a new kind of quantum particle swarm algorithm for continuous space optimization is proposed, in which quantum computation is introduced into PSO. The particles can be described as superposition of multiple states. Quantum bits are updated by quantum rotation gates, and mutated by quantum non-gates. The numerical simulation results show that the new algorithm has better stability, global search capability and faster convergence rate than classical PSO and GA. Furthermore, the new algorithm is applied to the structure optimization of 37kW energy-saving motor used in beam pumping unit successfully. The main structure parameters of motor are selected as optimal variables. And the performance of motor is chosen as constraint conditions. Motor efficiency is selected as optimization goal. The optimized energy-saving motor, which is more energy efficient and materials saving, meets the requirements of periodic pulsating variable load, low load and energy saving in oil field.

AB - In this paper, a new kind of quantum particle swarm algorithm for continuous space optimization is proposed, in which quantum computation is introduced into PSO. The particles can be described as superposition of multiple states. Quantum bits are updated by quantum rotation gates, and mutated by quantum non-gates. The numerical simulation results show that the new algorithm has better stability, global search capability and faster convergence rate than classical PSO and GA. Furthermore, the new algorithm is applied to the structure optimization of 37kW energy-saving motor used in beam pumping unit successfully. The main structure parameters of motor are selected as optimal variables. And the performance of motor is chosen as constraint conditions. Motor efficiency is selected as optimization goal. The optimized energy-saving motor, which is more energy efficient and materials saving, meets the requirements of periodic pulsating variable load, low load and energy saving in oil field.

KW - Beam pumping unit

KW - Continuous quantum particle swarm optimization

KW - Optimal design

KW - Paswarm optimization

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U2 - 10.1109/BICTA.2010.5645153

DO - 10.1109/BICTA.2010.5645153

M3 - Conference contribution

AN - SCOPUS:78650628931

SN - 9781424464388

T3 - Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

SP - 1231

EP - 1235

BT - Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing

T2 - 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

Y2 - 23 September 2010 through 26 September 2010

ER -

Yin Q, Li W, Zhang X, Huo F. Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit. In Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010. 2010. p. 1231-1235. 5645153. (Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010). doi: 10.1109/BICTA.2010.5645153

Continuous quantum particle swarm optimization and its application to optimization calculation and analysis of energy-saving motor used in beam pumping unit

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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