The Optimization of Balancing Least Squares Influence Coefficient Method Based on Particle Swarm Optimization
On the basis of the rotor dynamic balancing theory, the rotor balancing least squares influence coefficient method has been discussed in detail in this paper. In order to solve the problem that the residual vibration in some of the measuring point and the balancing weight are comparatively large in the balance process with least squares influence coefficient method, particle swarm optimization algorithm with cross-factor, which is an improved swarm intelligence algorithm, is introduced into rotor balancing least squares influence coefficient method. Theoretical analysis and numerical examples show that the algorithm has a good convergence, with reducing the balancing weight and residual vibration effectively compared with basic least squares influence coefficient method. The result can achieve better balance effect in the rotor balancing process.
Rotor balancing Influence coefficient method Least squares method Particle swarm optimization
Xing Xing Wang Guo An Yang Ya Jun Fan
Diagnosis and Self-recovery Engineering Research Center, Beijing University of Chemical Technology, Lanzhou Petrochemical Company of CNPC, Lanzhou 730060, China
国际会议
上海
英文
56-61
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）