江苏科技大学学报(自然科学版)
江囌科技大學學報(自然科學版)
강소과기대학학보(자연과학판)
Journal of Jiangsu University of Science and Technology(Natural Science Edition)
2015年
5期
449-453
,共5页
雷达液位计%船舶%液位测量%低通滤波器%扩展卡尔曼滤波器
雷達液位計%船舶%液位測量%低通濾波器%擴展卡爾曼濾波器
뢰체액위계%선박%액위측량%저통려파기%확전잡이만려파기
radar level gauge%ship%level measurement%low-pass filter%extended Kalman filter
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.
針對雷達液位計在船舶液位測量過程中由于液位波動、外界榦擾或者其它突髮狀況導緻的測量結果齣現偏差以及輸齣不穩定的問題,提齣瞭一種峰值濾波、低通濾波和擴展卡爾曼濾波相結閤的方法對雷達液位計測量值進行濾波處理.首先,對液位信號進行峰值濾波,去除誤差較大的信號,然後通過設計低通濾波器濾除液位信號中的高頻譟聲信號以減小譟聲對測量的影響,最後採用動力學原理對雷達液位計測量過程進行擴展卡爾曼建模,通過對來自低通濾波器濾波後的結果進行擴展卡爾曼濾波提高瞭輸齣的穩定性.對實際船舶上的水艙進行實驗,實驗結果錶明:雷達液位計的測量值經過低通濾波器和擴展卡爾曼濾波器後具有更高的穩定性、可靠性和準確性.
침대뢰체액위계재선박액위측량과정중유우액위파동、외계간우혹자기타돌발상황도치적측량결과출현편차이급수출불은정적문제,제출료일충봉치려파、저통려파화확전잡이만려파상결합적방법대뢰체액위계측량치진행려파처리.수선,대액위신호진행봉치려파,거제오차교대적신호,연후통과설계저통려파기려제액위신호중적고빈조성신호이감소조성대측량적영향,최후채용동역학원리대뢰체액위계측량과정진행확전잡이만건모,통과대래자저통려파기려파후적결과진행확전잡이만려파제고료수출적은정성.대실제선박상적수창진행실험,실험결과표명:뢰체액위계적측량치경과저통려파기화확전잡이만려파기후구유경고적은정성、가고성화준학성.
In order to solve the problem that level measurement results of radar level gauge on ship will exist de-viation 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 low-pass 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.