基于超声波与红外线技术的测距系统的研究与应用

Research and Application of a Ranging System Based on Ultrasonic and Infrared Technology

通过超声红外技术测距时,受温度影响存在超声波速度波动的问题。提出了基于BP神经网络的温度补偿算法,通过建立温度与超声波速度之间的映射关系,达到补偿速度测量的目的。针对BP网络容易陷入局部最小值的问题,采用引入动量项的BP网络来优化连接权系数,在全局范围内更加快速准确地找到最优化的权值和阈值。通过建模和仿真可知,温度补偿算法具有很好的数据融合和预测能力,很好地改善温度对超声波速度的影响,提高了测距的稳定性和准确性。

As ultrasonic velocity fluctuation existed due to temperature influence in the ranging by ultrasonic infrared technology,a temperature compensation algorithm based on BP neural network was proposed.By establishing a mapping relationship between temperature and ultrasonic velocity,the algorithm attained the purpose of compensating velocity measurement.Considering that the BP network might easily fall into local minimum,a BP network with items of momentum was used to optimize the connection weight coefficient,so that the optimized weight and threshold might be found more quickly and accurately in the global scope.Modeling and simulation show that the proposed temperature compensation algorithm has excellent ability of data fusion and prediction,can greatly reduce the influence of temperature on ultrasonic velocity and raise ranging stability and accuracy.