关键词: 截割头, 虚拟激励法, 小波, 最小二乘法, 鱼群算法

Abstract:

In order to reduce the vibration of a longitudinal roadheader's cutting head, differential equations of motion of the roadheader were derived by using Lagrange equation and pseudo-excitation method. By expanding the time-varying stiffness and damping of the system into linear combination of a series scaling functions based on Daubechies wavelet's compactness and regularization and least-square method, the time-varying parameter identification problem was turned into the problem of identifying invariant parameters. Taking the identifying parameters as the initial conditions, choosing displacement response of the cutting head as an optimal objective and parameters were optimized by means of fish-swarm algorithm. The results show that the displacement response of the cutting head is decreased by 18.3% after optimized. A multi-body dynamic model of the roadheader was simulated in ADAMS for the sake of identifying the conclusion, the model simulation results and the theoretical value are relatively close,which implies validity of the optimized conclusion.

Key words: cutting head, pseudo-excitation method, wavelet, least-square method, fish-swarm algorithm