中国舰船研究2024，Vol.19Issue(3)：310-318,9.DOI:10.19693/j.issn.1673-3185.03112
船舶螺旋桨推力的在线高精度辨识方法
Online high-precision identification method for ship propeller thrust
摘要
Abstract
[Objective]The weak deformation signal generated by propeller thrust on a shaft system is easily overshadowed by interfering noise,making it challenging to accurately measure the thrust.Therefore,this study proposes a new method for accurately measuring the thrust of propellers under low signal-to-noise ratio conditions.[Methods]By taking into consideration the influence of measurement data errors and the under-lying mechanical mechanisms,a thrust identification model is established based on a combination of Kalman filtering,and the thrust-displacement state equation.Thrust measurement research is conducted under three dif-ferent operating conditions:constant rotational speed,variable rotational speed and low-frequency fluctuating rotational speed.The precision and robustness of the proposed method are then analyzed under different signal-to-noise ratios.[Results]The results demonstrate that even at a signal-to-noise ratio of only 20 dB,the maxi-mum relative error in thrust identification is only 3.56%.Thus,the proposed method exhibits highly accurate and robust thrust identification performance under low signal-to-noise ratio conditions.[Conclusion]The findings of this study can provide valuable insights for the real-time and high-precision monitoring of pro-peller thrust and shaft system status in actual ship environments.关键词
Kalman滤波/推力辨识/推进轴系/位移测量/在线监测Key words
Kalman filtering/thrust identification/propulsion shaft/displacement measurement/online monitoring分类
交通工程引用本文复制引用
马相龙,吴昊,邹冬林,薛林,塔娜,饶柱石..船舶螺旋桨推力的在线高精度辨识方法[J].中国舰船研究,2024,19(3):310-318,9.基金项目
国家自然科学基金资助项目(52375110) （52375110）
中国船舶集团有限公司-上海交通大学海洋装备前瞻创新联合基金资助项目(GC3270001/022) （GC3270001/022）
中央高校基本科研业务费专项基金资助项目(AF0200296) （AF0200296）
