摘要
针对雷达液位计在船舶液位测量过程中由于液位波动、外界干扰或者其它突发状况导致的测量结果出现偏差以及输出不稳定的问题,提出了一种峰值滤波、低通滤波和扩展卡尔曼滤波相结合的方法对雷达液位计测量值进行滤波处理.首先,对液位信号进行峰值滤波,去除误差较大的信号,然后通过设计低通滤波器滤除液位信号中的高频噪声信号以减小噪声对测量的影响,最后采用动力学原理对雷达液位计测量过程进行扩展卡尔曼建模,通过对来自低通滤波器滤波后的结果进行扩展卡尔曼滤波提高了输出的稳定性.对实际船舶上的水舱进行实验,实验结果表明:雷达液位计的测量值经过低通滤波器和扩展卡尔曼滤波器后具有更高的稳定性、可靠性和准确性.
In order to solve the problem that level measurement results of radar level gauge on ship will exist deviation and unstable output due to fluctuant liquid level,external interference or other unexpected situations,this paper presents a new combined method of peak filter,low-pass filter and extended Kalman filter. Firstly,peak filter is used to remove large error level signals. Then,in order to reduce the impact of noise on measurements,this paper designs a low-pass filter to filter out high frequency noise signals. Finally,we build extended Kalman filter model by dynamic principle for the measurement process of radar level gauge,and put the data from lowpass filter into the extended Kalman filter to obtain a stable output. The methodology is tested with real tank from ship. Test result shows that the value of level can be more stable,reliable and accurate after using combined method of extended Kalman filter and low-pass filter.
出处
《江苏科技大学学报（自然科学版）》
CAS
北大核心
2015年第5期449-453,共5页
Journal of Jiangsu University of Science and Technology:Natural Science Edition
