Li Zhandong, Ma Shuang, Han Qi, Li Jingkui, and Wang Chao
Underwater thruster, quasi-cavitation, Bayesian estimation, Gaus-sian process.
In order to realise thrust prediction under quasi-cavitation when the underwater thrusters working near water surface, a novel thrust prediction approach based on Bayesian estimation and Gaussian process is proposed. The Bayesian estimation based thrust model (BETM) is established to obtain the relationship between thrust, rotation speed and input current. Then, a quasi-cavitation prediction model based on Gaussian process (QCTM-GP) is established which considering thrust loss caused by quasi-cavitation, the BETM and QCTMGP are used to realise quasi-cavitation thrust prediction. The accuracy of BETM and the effectiveness of QCTM-GP is validated via experiments.
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