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基于粒子群算法的挠性转子平衡质量优化
引用本文:陈长忆,车林仙,叶永春. 基于粒子群算法的挠性转子平衡质量优化[J]. 五邑大学学报(自然科学版), 2006, 20(3): 30-35
作者姓名:陈长忆  车林仙  叶永春
作者单位:1. 电子科技大学,软件学院,四川,成都,610054;泸州职业技术学院,电信系,四川,泸州,646005
2. 泸州职业技术学院,电信系,四川,泸州,646005
基金项目:泸州职业技术学院校科研和教改项目
摘    要:应用非固定多段映射罚函数法,将具有上界约束的挠性转子最优平衡质量极大极小优化模型转换为无约束非光滑优化模型,并应用粒子群算法求解此优化问题.该算法具有控制参数少,全局优化能力较强等优点.计算实例验证了该方法的有效性.

关 键 词:挠性转子  振动  平衡质量  粒子群算法
文章编号:1006-7302(2006)03-0030-06
修稿时间:2006-01-09

Optimization of Flexible Rotors'''' Balance Corrections Based on Particle Swarm Optimization
CHEN Chang-yi,CHE Lin-xian,YE Yong-chun. Optimization of Flexible Rotors'''' Balance Corrections Based on Particle Swarm Optimization[J]. Journal of Wuyi University(Natural Science Edition), 2006, 20(3): 30-35
Authors:CHEN Chang-yi  CHE Lin-xian  YE Yong-chun
Abstract:Using the non-stationary multi-stage assignment penalty function method,the model for minimization of maximum residual vibrations of flexible rotors with optimum balance corrections is transformed to the unconstrained minimax non-smoothing optimization model in which the bound constraints of balance corrections are included.Then,the particle swarm optimization(PSO) algorithm is used for solving the minimax problem.Compared with GA,the advantages of PSO are that there are few parameters to adjust and PSO has better global optimal capability.Numerical results show the effectiveness of this method.
Keywords:flexible rotor  vibration  balance correction  particle swarm optimization
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