摘要
针对超空泡航行体运动控制中的超空泡形态的估计问题。该文以超空泡航行体模型的水洞实验数据为依据,获得了空化器在运动过程中的超空泡的内、外压力和形态数据,然后使用强跟踪滤波算法对这些数据进行处理,得到了超空泡形态的动态估计算法。结果表明,得到的超空泡形态的估计值与测量值之间的误差满足超空泡航行体的稳定控制的要求,证明了该文得到的超空泡形态估计算法的正确性。
To estimate supercavity shape in supercavitating vehicle motion control, the pressure in inner and outside supercavity and the shape of supercavity were obtained in water tunnel experiments. Based on the collected data, the strong track filter （STF） was used to estimate the supercavity shape when cavitator rotated. The simulation results showed that the error between estimates and measurements of supercavity shape satisfied the requirements for stable motion control of supercavitating vehicles.
出处
《工程力学》
EI
CSCD
北大核心
2017年第11期249-256,共8页
Engineering Mechanics
基金
国家自然科学基金项目(51309058
51209049)
关键词
超空泡航行体
空泡形态
水洞实验
动态估计
强跟踪滤波
supercavitating vehicle
supercavity shape
water tunnel experiment
dynamic estimation
strong track filter （STF）
