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.
Paul P. Lin and Chunliang Zhang
X. X. Wang et al., "The Optimization of Balancing Least Squares Influence Coefficient Method Based on Particle Swarm Optimization", Applied Mechanics and Materials, Vols. 105-107, pp. 56-61, 2012