某型AUV对转电机子群协同多目标粒子群优化

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摘要某型自主水下航行器(AUV)需要一种高效、小质量的对转电机,同时要求电机在尾段密闭条件下可长时间航行。针对这一问题,从电机计算模型和多目标优化算法两方面,提出基于电磁-热耦合模型和子群协同的多目标粒子群帕累托最优(MOPSO)设计方法。该模型使用气隙磁场解析法进行电磁计算,使用等效热网络法计算电磁-热耦合情况下的电机温升。利用计算流体力学(CFD)方法计算旋转部件及航行器壳体的对流换热系数,以解决对流等效热阻计算不准确的问题。最后以效率和质量为优化目标,电机温升和几何条件及磁路磁密为约束条件,使用改进的MOPSO方法进行优化,并将优化结果与NSGA-Ⅱ算法优化结果进行比较,结果表明该方法能够获得更接近于真实帕累托前沿的解集,且解集分布性良好。制作样机后进行试验,功率、转速、效率、质量等指标均满足要求,且尾段密闭条件下5 h负载温升符合要求。

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	王司令
	宋保维
	段桂林

关键词 ：自主水下航行器, 对转电机, 多目标优化, 粒子群, 电磁-热耦合, 计算流体力学

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

收稿日期: 2014-11-27 出版日期: 2015-04-13

PACS:

TM315

基金资助:总装预研项目(401030201)资助。

通讯作者: 王司令男,1985年生,博士研究生,研究方向水下航行器电机设计与控制。

作者简介: 王司令男,1985年生,博士研究生,研究方向水下航行器电机设计与控制。宋保维男,1963年生,教授,博士生导师,研究方向为水下航行器总体技术。

引用本文:

王司令,宋保维,段桂林. 某型AUV对转电机子群协同多目标粒子群优化[J]. 电工技术学报, 2015, 30(5): 135-141. 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. Transactions of China Electrotechnical Society, 2015, 30(5): 135-141.

链接本文:

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

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