摘要
为提高变步长最小均方(LMS)自适应对消算法在船舶轴系扭振监测系统中的滤波性能,针对传统LMS算法存在的不足,结合参考文献以及船舶轴系扭振实测信号的特点,建立了一种新的步长因子与误差信号之间的函数解析式,分析了各参数的取值对步长因子的影响效果。基于此,将改进后的自适应对消滤波算法实际应用于中船重工某研究所的船舶轴系扭振监测系统中,并结合巴特沃斯低通滤波器滤波,得到了准确的扭转角值,验证了算法的有效性,提高了船舶轴系扭振监测系统的滤波性能。
In order to improve filtering performance of variable step size LMS adaptive cancellation algorithm in ship shafting torsional vibration monitoring system, aiming at the shortcomings of the traditional LMS algorithm, combined with the characteristics of the reference documents and the measured the signals of the shafting torsional vibration of the ship, a new analytical formula of function between the step factor and the error signal is established, and influence effect of the value of each parameter on step factor is analyzed.Based on this, the improved adaptive cancellation filtering algorithm is actually applied to the ship shaft torsional vibration monitoring system of a research institute of China Shipbuilding Industry Corporation.Meanwhile, it combined with Butterworth low-pass filter and the accurate torsional angle value is obtained.The effectiveness of the algorithm is verified and the filtering performance of the torsional vibration monitoring system of the ship shafting is improved.
作者
张新
党艳
蒋励
ZHANG Xin;DANG Yan;JIANG Li(School of Electronic Engineering,Xi’an University of Post and Telecommunications,Xi’an 710121,China)
出处
《传感器与微系统》
CSCD
北大核心
2022年第12期150-152,157,共4页
Transducer and Microsystem Technologies
基金
陕西省自然科学基金资助项目(2017GY—055)
陕西省教育厅科研项目(2018YBXM—G—3—1)。
关键词
自适应对消
改进的最小均方算法
巴特沃斯低通滤波器
扭振监测
adaptive cancellation
improved LMS algorithm
Butterworth low pass filter
torsional vibration monitoring
