某型AUV对转电机子群协同多目标粒子群优化

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Abstract An autonomous underwater vehicle (AUV) in design requires a new motor with counter-rotating rotors which should have a high efficiency and a small mass,and can be operated for a relatively long time in a closed space where the temperature rise must be considered.An electromagnetic-thermal coupling analysis model and an improved multi-objective particle swarm optimization (MOPSO) algorithm based on the Pareto optimal are used for the design of the motor.Firstly,an analytical model is applied for the calculation of the air gap magnetic field,an equivalent thermal network analysis is used to calculate the motor’s temperature rise,and the interaction between the electromagnetic field and the thermal field is considered.Secondly,the computational fluid dynamics (CFD) method is used for calculating the convection heat transfer coefficient of the rotating parts of the motor and the AUV shell to solve the problem of the inaccurate equivalent thermal resistance.Finally,the efficiency and the mass are set as the optimization objectives,the temperature rise and the geometric condition are designated as the constrains.Then the results of a two sub-groups collaborative MOPSO algorithm is compared with the results of the standard multi-objective optimization algorithm NSGA-Ⅱ.The Pareto front shows that the method can obtain a solution set that is closer to the true Pareto front with good distribution.The experimental results of the prototype show that all the indices including power,speed,efficiency and mass meet the requirements,and the temperature rise after 5 hours’ full-load is satisfied.

Key words： Autonomous underwater vehicle counter-rotating rotors motor multi-objective optimization particle swarm thermal-electrical coupling computational fluid dynamics

Received: 27 November 2014 Published: 13 April 2015

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TM315

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	Wang Siling
	Song Baowei
	Duan Guilin

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Wang Siling,Song Baowei,Duan Guilin. Optimization Design of An AUV’s Motor with Counter-rotating Rotors Based on the Collaborative Multi-objective Particle Swarm Algorithm[J]. Transactions of China Electrotechnical Society, 2015, 30(5): 135-141.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2015/V30/I5/135

[1] 宋受俊,葛乐飞,刘虎成,等.开关磁阻电机设计及多目标优化方法[J].电工技术学报,2014,29(5):1-9.
Song Shoujun,Ge Lefei,Liu Hucheng,et al.Design and multi-objective optimization method of switched reluctance machines[J].Transaction of China Electrotechnical Society,2014,29(5):1-9.
[2] Upadhyay P R,Rajagopal K R.Genetic algorithm based design optimization of a permanent magnet brushless DC motor[J].Journal of Applied Physics,2005,97(10):(10Q516-10Q516-3).
[3] 褚占宇,安忠良,佟文明,等.双转子永磁风力发电机设计[J].电工技术学报,2013,28(1):265-270.
Chu Zhanyu,An Zhongliang,Tong Wenming,et al.Design and research on dual-rotor permanent-magnet wind generator[J].Transaction of china electrotechnical society,2013,28(1):265-270.
[4] 张晓锋,梁京辉,乔鸣忠,等.机桨一体化推进电机设计及分析[J].电工技术学报,2013,28(11):170-175.
Zhang Xiaofeng,Liang Jinghui,Qiao Mingzhong,et al.Design and analysis of propelling motor used in a integrated motor propulsor[J].Transaction of china electrotechnical society,2013,28(11):170-175.
[5] Hwang C C,Chang J J.Design and analysis of a high power density and high efficiency permanent magnet DC motor[J].Journal of Magnetism and Magnetic Materials,2000,209(1-3):234-236.
[6] Yang Y P,Chiao T C.Multi-objective optimal design of a high speed brushless DC motor[J].Electric Machines and Power Systems,2000,28(1):13-30.
[7] Zhu Z Q,Howe David,Chan C C.Improved analytical model for predicting the magnetic field distribution in brushless permanent-magnet machines[J].IEEE Transactions on Magnetic,2002,38(1):229-238.
[8] Rahideh A,Korakianitis T,Ruiz P,et al.Optimal brushless DC motor design using genetic algorithms[J].Journal of Magnetism and Magnetic Materials,2010,322(22):3680-3687.
[9] Mellor P H,Roberts D,Turner D R.Lumped parameter thermal model for electrical machines of TEFC design[C].IEE Proceedings Electric Power Applications,1991,5(138):205-218.
[10]Howey David A,Childs Peter R N,Holmes Andrew S.Air-gap convection in rotating electrical machines[J].IEEE Transactions on Industrial Electronics,2012,3(59):1367-1375.
[11]Parsopoulos K E,Vrahatis M N.Particle swarm optimization method in multi-objective problems[C].Proceedings of the 2002 ACM Symposium on Applied Computing,Madrid,Spain,2002,603-607.