基于泊松过程的超高斯随机振动试验控制技术研究

Super-Gaussian random vibration test control technique based on Poisson process

针对工程化的超高斯随机振动试验控制技术实现尚存在问题,在对其控制原理研究的基础上,提出基于泊松过程的超高斯随机振动控制策略。利用参考谱设计出符合控制要求的滤波器,通过泊松过程产生泊松点,使泊松点的信号取值服从正态分布,利用该信号与滤波器之间的卷积运算产生用于系统控制的驱动信号,从而实现对超高斯随机振动试验控制系统的功率谱和峭度同时控制,且二者相互独立。仿真与实验结果表明,基于泊松过程的超高斯随机振动试验控制算法,其控制输出响应谱与参考谱的误差满足振动试验工程上±3dB要求,控制峭度也能达到较高精度,完全满足工程要求。

To achieve super-Gaussian random vibration test control in engineering,a super-Gaussian random vibration test control strategy based on Poisson process was proposed in terms of control theory.The required filter was designed by taking a reference spectrum,the signal values according to Possion points produced in Poisson process obeyed normal distribution,the drive signal acted on control system was generated by using convolution algorithm between the signal values and the filter,it simultaneously controlled the power spectrum and the kurtosis of the control system,both of them were controlled independently.The simulations and tests indicated that the error between output response spectrum and reference spectrum based on the proposed control algorithm meets the requirement ±3dB in engineering and the kurtosis with higher control accuracy also satisfies the demands in practice.