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.

摘要：

针对伺服系统谐振抑制中，陷波滤波器的深度和宽度不合理而使谐振抑制不理想的问题，提出陷波滤波器谐振抑制参数优化方法。利用速度偏差的FFT变换得到谐振频谱图，以最大幅值处的频率确定陷波频率；在频谱图上以曲线任意点的幅值与最大幅值的比值确定深度参数，并且以所对应的频率与谐振频率的宽度确定宽度参数；为了保证参数的合理性，以滤波后谐振频率处的幅值为适应度，利用改进粒子群优化算法对陷波深度和宽度参数进行优化，避免因噪声干扰和负载变化而使陷波参数陷入局部最优。实验结果表明：该方法能在线分析机械谐振并且匹配最优参数，可以大幅度降低机械谐振。

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