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Optimum Design of High-Temperature Superconducting Induction/Synchronous Motor to Increase Torque Density Using Collective Decision Optimization Algorithm | ||
| International Journal of Industrial Electronics Control and Optimization | ||
| مقاله 4، دوره 3، شماره 2، مرداد 2020، صفحه 137-145 اصل مقاله (675.79 K) | ||
| نوع مقاله: Research Articles | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2019.29084.1148 | ||
| نویسندگان | ||
| Milad Niaz Azari* ؛ Vasiye Lohrasbi؛ Seyed Abdolah Mousavi | ||
| Department of Electrical Engineering, University of Science and Technology of Mazandaran, Behshar, Iran | ||
| چکیده | ||
| Today, with the high promotion of technology and the expansion of industries, electric motors are used extensively and consume a large part of the electrical energy produced by power plants. Therefore, researchers and experts have always sought solutions to make electric motors with high reliability and low losses. The machines are made of a high temperature superconducting motor with high efficiency are called high temperature superconductor -induction synchronous motor (HTS-ISM). In this paper, the high-temperature superconducting induction/synchronous motor (HTS-ISM) is studied. Optimizing of torque density and the structural dimensions of HTS-ISM is done using one of the newest optimization methods, the collective decision optimization algorithm (CDOA). The results show a torque of about 51.75% increase via the optimization process. Also commonly used optimization method, particle swarm optimization algorithm (PSO) method was implemented to compare the results. The comparison has proved that the CDOA method high capability to optimize the motor design parameters. All of the algorithms in this paper is performed with MATLAB software. | ||
| کلیدواژه‌ها | ||
| Torque density؛ High-temperature superconductor؛ Induction/Synchronous motor؛ Collective decision optimization algorithm | ||
| مراجع | ||
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[1] Hassan Moradi Cheshmeh Beigi, Alireza Mohamadi “Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO” International Journal of Industrial Electronics, Control and Optimization, Volume 1, Issue 1, Spring 2018, Page 71-80. [2] Mardiha, M., and M. Vakilian. "Design and electromagnetic analysis of a superconducting rotating machine." Power Engineering Conference, 2008. AUPEC'08. Australasian Universities. IEEE, 2008. [3] Nakamura, Taketsune, et al. "Tremendous enhancement of torque density in HTS induction/synchronous machine for transportation equipments." IEEE Transactions on Applied Superconductivity 25.3 (2015): 1-4. [4] D. Sekiguchi et al., “Trial test of fully HTS induction/synchronous machine for next generation electric vehicle,” IEEE Trans. Appl. Supercond., vol. 22,no. 3, Jun. 2012, Art. ID. 5200904. [5] Morita, G., T. Nakamura, and I. Muta. "Theoretical analysis of a YBCO squirrel-cage type induction motor based on an equivalent circuit." Superconductor Science and Technology 19.6 (2006): 473. [6] Zhang, Qingyang, et al. "Collective decision optimization algorithm: A new heuristic optimization method." Neurocomputing 221 (2017): 123-137. [7] J. Du, H. Love James, S. Roper, The innovation decision: an economic analysis,Technovation 27 (2007) 766–773. [8] Muta, Itsuya, Tsutomu Hoshino, and Kenichiroh Hayashi. "Fundamental design and electrical characteristics of superconducting commutatorless motor." IEEJ Transactions on Industry Applications 114.2 (1994): 197-206 [9] V. N. Mittle, A. Mittal, “Design of Electrical Machines”, Standard Publishers Distributors, fourth Edition, 1996. [10] S. Sarma, V.K. Agrawal, S. Udupa, K. Parameswaran, "Instantaneous Angular Position and Speed Measurement Using a DSP Based Resolver to Digital Converter",Measurement, vol. 41, no. 7, pp. 788-796, August 2008. [11] A. K. Sawhney, "A Course In Electrical Machine Design", Dhanpat Rai and Sons,New Delhi, 1989. | ||
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