基于粒子群算法的驱动机构多目标动平衡优化
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摘要
针对机构动平衡优化问题,综合考虑惯性力、运动副反力和输入扭矩三项动平衡优化性能指标。以冷轧管机驱动机构为对象,根据经典多目标处理方法中的理想点法,建立了衡量机构动平衡优化程度的数学模型。该模型采用粒子群智能算法进行实时优化,算法效率高,能够快速准确地获得平衡参数最优解,实现机构系统整体优化效果。仿真分析表明,该方法能够尽可能地逼近各项平衡性能指标的最优值,有效地解决了机构的多目标动平衡优化问题。
In this paper,three dynamic balancing performances including inertia force,subsidiary reacting force and inputting torque are considered for the specific problem in dynamic balance optimization.For the driving mechanism of cold rolling mills,the mathematic model for measuring the degree of dynamic balance optimization is constructed based on the ideal point method.It could be able to obtain the optimal parameters by proceeding to real-time optimization based on the particle swarm algorithm quickly and accurately.The simulation results indicate that the present method can achieve the optimal value of every dynamic balance performance and effectively solve multi-objective dynamic balance problems.
In this paper,three dynamic balancing performances including inertia force,subsidiary reacting force and inputting torque are considered for the specific problem in dynamic balance optimization.For the driving mechanism of cold rolling mills,the mathematic model for measuring the degree of dynamic balance optimization is constructed based on the ideal point method.It could be able to obtain the optimal parameters by proceeding to real-time optimization based on the particle swarm algorithm quickly and accurately.The simulation results indicate that the present method can achieve the optimal value of every dynamic balance performance and effectively solve multi-objective dynamic balance problems.
引文
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[3]Zitzler E.Evolution Algorithms for Multi-objective Optimiza-tion:Methods and Applications[D].Ph D thesis.Swiss FederalInstitute of Technology,Zurich,1999
[4]Kennedy J,Eberhart R C.Particle swarm optimization[A].Pro-ceedings of IEEE International Conference Neural Networks[C],Perth,Australia,1995,(4):1942～1948
[5]马纲,李盘荣,陈晓舟.粒子群算法在重载齿轮多目标设计中的应用[J].洛阳理工学院学报,2009,6(2)
[6]朱小平,王涛.基于多目标粒子群算法的切削用量多决策优化研究[J].组合机床与自动化加工技术,2010,(3)
[7]Tang W X,Sun J J,Wang B.Study on dynamic balance in maindriving mechanism of cold rolling mill based on the particle swarmoptimization algorithm[J].Applied Mechanics and Materials,2011,(55-57):633～638
[8]Shi Y,Eberhart R.A modified particle swarm optimizer[A].IEEE International Conference on Evolutionary Computation[C],Piscataway,NJ,IEEE Service Center,1998:69～73
[9]Eberhart R C,Kennedy J.A new optimizer using particle swarmtheory[A].Proceedings of Sixth International Symposium onMicro Machine and Human Science[C],Nagoya,Japan,1995:39～43
[2]何亚银,吴立言,贺朝霞等.基于仿真的机构动力综合优化平衡的研究[J].机械设计,2006,23(4)
[3]Zitzler E.Evolution Algorithms for Multi-objective Optimiza-tion:Methods and Applications[D].Ph D thesis.Swiss FederalInstitute of Technology,Zurich,1999
[4]Kennedy J,Eberhart R C.Particle swarm optimization[A].Pro-ceedings of IEEE International Conference Neural Networks[C],Perth,Australia,1995,(4):1942～1948
[5]马纲,李盘荣,陈晓舟.粒子群算法在重载齿轮多目标设计中的应用[J].洛阳理工学院学报,2009,6(2)
[6]朱小平,王涛.基于多目标粒子群算法的切削用量多决策优化研究[J].组合机床与自动化加工技术,2010,(3)
[7]Tang W X,Sun J J,Wang B.Study on dynamic balance in maindriving mechanism of cold rolling mill based on the particle swarmoptimization algorithm[J].Applied Mechanics and Materials,2011,(55-57):633～638
[8]Shi Y,Eberhart R.A modified particle swarm optimizer[A].IEEE International Conference on Evolutionary Computation[C],Piscataway,NJ,IEEE Service Center,1998:69～73
[9]Eberhart R C,Kennedy J.A new optimizer using particle swarmtheory[A].Proceedings of Sixth International Symposium onMicro Machine and Human Science[C],Nagoya,Japan,1995:39～43