一种提升高速视觉伺服系统跟踪性能的随机共振法

A Stochastic Resonance Method for Improving Tracking Performance of High-speed Visual Servo System

针对高速视觉伺服系统在追踪目标时的误差问题,提出了一种基于随机共振的减少误差方法。从理论和实验角度,论证了高速视觉伺服系统的输出误差是符合随机共振特性的。以此为基础,提出了通过流程化测试得到最佳噪声水平,继而实时生成噪声信号并用于系统输出的修正中。实验结果表明,通过选取最优的噪声参数,该方法能显著减小高速视觉伺服系统的输出误差。

This paper proposes a stochastic resonance based method to reduce the error of high-speed visual servo system in targets tracking.First,this paper demonstrates that the output error of the high-speed visual servo system is consistent with the stochastic resonance characteristics from the theoretical and experimental perspectives.Then,this paper proposes a new method to obtain the best noise which can be used in the correction of the system output.