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基于改进PSO算法的割刀驱动机构的优化设计 被引量:2

Optimization Design for Cutter Drive Mechanism Based on Improved PSO Algorithm
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摘要 为提高立式割台的传动效率,减小振动,以半喂入式联合收割机的割刀驱动机构传动性能最佳和机构整体质量最小为目标建立数学模型,采用改进PSO算法进行割刀驱动机构的多目标优化设计。利用MATLABPSO工具箱验证了算法及所建数学模型的准确性和可行性;利用VC++软件开发平台编制人机交互界面让操作者使用方便,数据显示直观。计算结果表明,在满足传动要求的情况下,最小传动角增加5.49%,机构尺寸减小23.07%。改进PSO算法多目标优化法能改善机构传动性能,减小机构尺寸,实现机构的性能优化和局部小型化。 In order to improve work efficiency and reduce vibration for vertical cutting table , a multi-objective optimization design based on an improved PSO algorithm for cutter drive mechanism of half-feeding combine harvester is performed in this paper .Mathe-matical model is established by taking the best drive performance and minimization of overall mechanism mass as two major goals .Ac-curacy and feasibility of the algorithm and mathematical model are verified by MATLAB-PSO toolbox.A user interface developed by VC++software development platform can display data intuitively and make operation convenient .Calculation results show that mini-mum transmission angle increases by 5.49%, and mechanism size decreases by 23.07%in the same situation to meet transmission re-quirement .Study indicates that multi-objective optimization based on improved PSO algorithm can improve performance and reduce the size of mechanism at the same time .
出处 《西华大学学报(自然科学版)》 CAS 2014年第2期67-72,共6页 Journal of Xihua University:Natural Science Edition
基金 四川省高校重点实验室开放基金项目(SZJJ2009-024) 西华大学人才培养课题(R0820208)
关键词 PSO算法 联合收割机 数学建模 优化设计 PSO algorithm combine harvester mathematical modeling optimization design
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  • 1任斌,丰镇平.改进遗传算法与粒子群优化算法及其对比分析[J].南京师范大学学报(工程技术版),2002,2(2):14-20. 被引量:34
  • 2郑夕健,张国忠,费烨.基于灰色模糊决策的多目标优化模型及应用研究[J].组合机床与自动化加工技术,2007(1):10-13. 被引量:7
  • 3李志萍,何雨江,朱中道.熵权法在农村安全饮水水质评价中的应用[J].人民黄河,2007,29(5):35-36. 被引量:26
  • 4孙恒 傅则绍.机械原理[M].北京:高等教育出版社,1994..
  • 5Saaty T L. Decision making with the AHP: why is the principle eigenvector necessary [J]. European Journal of Operational Research, 2003, 145(1) :85-91.
  • 6Shi Y, Eberhart R. Modified particle swarm optmizer[C]// IEEE World Congress on Computational Intelligence. 1998:69-73.
  • 7Lipovestsky S, Conklin W M. Robust estimation of priorities in the AHP[J]. European Journal of Operational Research, 2002, 137(1): 110-122.
  • 8刘勇,康立山,陈疏屏.非数值并行算法:第二册[M].北京:科学出版社,1997.
  • 9杨岞生,俞守勤.飞行器部件空气动力学[M].北京:国防工业出版社,1981.
  • 10Rodolfo Dufo-Lopez,Jose L.Bernal-Agustin.Multi-objective design of PV wind diesel hydrogen battery systems[J].Renewable Energy,2008,33:2559-2572.

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