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多策略粒子群算法在磁悬浮承重装置中的应用

DOI: 10.13334/j.0258-8013.pcsee.2014.30.020, PP. 5416-5424

Keywords: 混合磁悬浮,电磁装置,永磁装置,粒子群,反向学习,多开端策略

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Abstract:

混合磁悬浮装置的各项参数相互影响,决定着整个装置的性能。在满足承重要求的条件下,有必要对该装置的各项参数进行优化研究。为此,提出一种多策略改进粒子群算法,并将其应用到混合磁悬浮承重装置的参数优化中。首先,对混合磁悬浮装置进行介绍,通过分析永磁和电磁悬浮力,以励磁损耗和资金投入最小,和在允许范围内减载程度最高为目标,建立该装置的优化模型。在算法上,通过分析传统粒子群算法的缺陷,首次提出多开端策略来提高种群的多样性,结合反向学习和参数修正等多种策略对粒子群算法进行改进(多策略改进粒子群算法),以广义Schwefel函数为验证函数,通过与其他粒子群算法的比较证明,改进算法具有更强的优势。最后,运用多策略改进粒子群算法对磁悬浮模型进行优化,将优化结果与原有参数进行比较,分析可知该结果更加符合实际情况,通过仿真验证该结果的合理性,为进一步建立实验模型奠定了理论基础。

References

[1]  李永海,杨罡,于晓东,等.水轮发电机推力轴承在线监测方法研究[J].电机与控制学报,2003,7(2):117-121.
[2]  Li Yonghai,Yang Gang,Yu Xiaodong,et al.Study of on-line monitoring for thrust bearings of hydro-electric generator[J].Electric Machines and Control,2003,7(2):117-121(in Chinese).
[3]  孙晓刚,戴景民,丛大成,等.推力轴承油膜厚度测量系统的研制[J].计量学报,2003,24(2):92-94.
[4]  Sun Xiaogang,Dai Jingmin,Cong Dacheng,et al.Development of oil film thickness measuring system for thrust bearing[J].Acta Metrological Sinica,2003,24(2):92-94(in Chinese).
[5]  邓波,陈坚,周少华,等.大型立式推力轴承研究现状及发展趋势[C]//2009全国大型泵站更新改造研讨暨新技术、新产品交流大会论文集.厦门:中国水利学会泵及泵站专业委员会,2009,37-45.
[6]  Deng Bo,Chen Jian,Zhou Shaohua,et al.Current situation and development of large vertical thrust bearing[C]//Proceedings of 2009 National Large Pumping Station Renovation Research, New Technology and Product Exchange.Xiamen:Chinese Water Conservancy Society Pump and Pumping Station Committee,2009,37-45(in Chinese).
[7]  吴鹏,小野田勉.小弹簧簇多点支撑结构在大型推力轴承上的应用[J].水力发电,2013,39(4):58-60.
[8]  Wu Peng,TSUTOMU Onoda.Application of multiple distribution coil springs in thrust bearing[J].Water Power,2013,39(4):58-60(in Chinese).
[9]  马宏忠,王斌,鞠平.混合磁悬浮水轮发电机组转子承重系统可行性分析[J].河海大学学报:自然科学版,2010,38(4):467-471.
[10]  Ma Hongzhong,Wang Bin,Ju Ping.Feasibility of mixed magnetic-levitation weight support system of hydroelectric generating set[J].Journal of Hohai University:Natural Sciences,2010,38(4):467-471(in Chinese).
[11]  Ma Hongzhong,Wang Qingyan,Ju Ping.Study of the load reduction for hydro-generator bearing by hybrid magnetic levitation[J].International Journal of Applied Electromagnetics and Mechanics,2013,43(11):215-226.
[12]  马宏忠,耿智慧,王庆燕,等.磁悬浮承重装置中的发热与温升分析计算[J].中国电机工程学报,2012,32(30):126-132.
[13]  Ma Hongzhong,Geng Zhihui,Wang Qingyan,et al.Analysis and calculation for heating and temperature rise of magnetic levitation device[J].Proceedings of CSEE,2012,32(30):126-132(in Chinese).
[14]  Liu J H,Kosekit Y.Robust control of a 4-pole electromagnet in semi-zero-power levitation scheme with a disturbance observer[J].Transactions on IEEE of Japan,2002,122(1):7-15.
[15]  Lamghari Jamal M I,Fouladgar J,Zaim E H,et al.A magneto-thermal study of a high-speed synchronous reluctance machine[J].IEEE Transactions on Magnetics,2006,42(3):1271-1274.
[16]  Caglar Elbuken,Ehsan Shameli,Mir Behrad Khamesee.Modeling and analysis of eddy-current damping for high-precision magnetic levitation of a small magnet[J].IEEE Transactions on Magnetics,2007,43(1):26-32.
[17]  Hyun D,Lee S,Hong J,et al.Detection of air gap eccentricity for induction motors using the single-phase rotation test[J].IEEE Transactions on Energy Coversion,2012,4(26):1-8.
[18]  Wang Husheng,Ye Ying,Wang Qiuliang,et al.Analysis for ring arranged axial field Halbach permanent magnets[J].IEEE Transactions on Applied Superconductivity,2006,16(2):1562-1565..
[19]  Nannapaneni,Narayana Rao.Fundamentals of engineering electromagnetics[M].Beijing:Mechanical Industry Press,2006:121-132.
[20]  Atienza E,Perrauet M,Wurtz F,et al.A methodology for the sizing and the optimization of an electro-magnetic release[J].IEEE Transactions on Magnetics,2000,36(4):1659-1663.
[21]  Kim Seung-Jong,Lee Chongwon.On-line identification of current and position stiffness by LMS algorithm in active magnetic bearing system equipped with force transducers[J].Mechanical Systems and Singnal Processing,1999,13(5):681-690.
[22]  Massimilianl K.A multi-start opposition-based particles swarm optimization algorithm with adaptive velocity for bound constrained global optimization[J].Journal Global Optimization.,2013,55(1):165-188.
[23]  Rahila P,Raghuwanshi M M.Decomposition based multi-objective genetic algorithm(DMOGA)with opposition based learning[C]//Fourth International Conference on Computation Intelligence and Communication Networks.Mathura:IEEE,2012:605-610.
[24]  Rahnamayan S,Tizhoosh H R,Salama M M A.Opposition versus randomness in soft computing techniques[J].Applied Soft Computing Journal,2008,8(2):906-918.
[25]  Umapathy P,Venkataseshaiah C,Arumugam M S.Particle swarm optimization with various inertia weight variants for optimal power flow solution[J].Discrete Dynamics in Nature and Society,2010,2010(10):1-15.
[26]  Taher N,Mohammad R N,Rasoul A A,et al.Mulit-objective optimal reactive power dispatch and voltage control:a new opposition-based self-adaptive modified gravitational search algorithm[J].IEEE Systems Journal,2013,7(4):742-753.
[27]  Xu Yangliang,Dun Yueqin,Wang Xiuhe,et al.Analysis of hybrid magnetic bearing with a permanent magnet in the rotor by FEM[J].IEEE Transactions on Magnetics,2006,42(4):1363-1366.
[28]  Jim F.GE hydro thrust bearings-applying development work to upgrading existing bearings[C]//International Conference Electric Machines and Drives’99.Canada:Electric Machines and Drives Commitee,1999:809-811.
[29]  Kellenberger W.Developments in hydro-electric generator components[J].IEE Proceedings Conference on Generation, Transmission and Distribution,1986,133(3):137-141.

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