Application of Partical Swarm Optimization Algorithm in Field Holo-Balancing

摘要：

Based on the Holo-balancing theory of shaft system, a new multi-objective optimization balancing method including load mass, uniformity and maximum of the residual vibration is proposed by building a multiobjective fuzzy evaluation function and application of particle swarm optimization algorithm. The advantage of the proposed method is studied by comparing with the traditional genetic algorithms optimization. And the shortcoming of influence coefficient methods failing to restrict the load mass and guaranteeing the uniformity of the residual vibration is conquered. Finally, the validity and effectiveness of the proposed method is verified through a field power generator set balancing case.

关键词： Particle swarm optimization Holo-balancing power generator set Rotating machine

作者: Guangrui Wen Xining Zhang Ming Zhao

作者单位: Research Institute of Diagnostics & Cybernetics, Xian Jiaotong University,Xian, Shaanxi 710049, Ch Research Institute of Diagnostics & Cybernetics, Xian Jiaotong University,Xian, Shaanxi 710049, Ch

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 16-25

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）