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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。
PROBLEMS ON THE FORM OF SUPERCOOCULAR MORPHOLOGY FOR THE CONTROL OF VACUUM CARRIER. In this paper, based on the experimental data of the cavitation vortex body model, the inner and outer pressure and shape data of the supercavity during the cavitator movement are obtained, and then the data are processed using the strong tracking filter algorithm , A dynamic estimation algorithm of supercavitation morphology is obtained. The results show that the error between the estimated value and the measured value of the supercavity shape satisfies the requirements of the stable control of the supercavitating vehicle, and the correctness of the proposed method is verified.