关键词: 振动与波, 伺服系统, 陷波滤波器, FFT, 粒子群优化, 机械谐振

Abstract:

In the case of resonant suppression of the servo system, the depth and width of the notch filter are unreasonable and the resonance suppression is not ideal, so optimization method of resonant suppression parameters of notch filter is proposed in paper. The resonant spectrum is obtained by FFT transformation of velocity deviation, and the notch frequency is determined by the frequency at the maximum amplitude. The depth parameter is determined by the ratio of the amplitude of the curve to the maximum amplitude on the spectrum, and the width parameter is determined by width between the corresponding frequency and the resonant frequency. In order to ensure the rationality of the parameters, the amplitude at the resonant frequency after filtering is used as the fitness, and the notch depth and width parameters are optimized by improved particle swarm optimization (PSO) algorithm. This method avoids the trap parameters into local optimum due to noise interference and load change. The experimental results show that the method can analyze the mechanical resonance and match the optimal parameters on the line. It can significantly reduce the mechanical resonance.