Shanghai Jiao Tong University

Fan Yi

Wei Zhang

Bo Li

Xuefeng Wang

Licheng Qin

Huacheng He

The invention provides a dynamic positioning and thrust distribution method based on an artificial neural network, is a quadratic programming problem in the optimization problem, and can compute the thrust coefficient of a rear thruster in a constraint condition of a thrust distribution problem by taking into account of the corner of a front thruster and through the artificial neural network. Then the optimization problem enabling the power of the thruster to be minimized is solved according to a sequential quadratic programming algorithm, so that a thrust distribution scheme on the azimuth thrusters is obtained. Meanwhile the invention further provides a dynamic positioning and thrust distribution device based on an artificial neural network. The invention, through the introduction of the concept of thrust coefficients, on the one hand, can accurately quantize thrust loss, and on the other hand can enlarge the feasible area of the rotation angle of the thruster, thereby ensuring that the more optimized and reasonable result can be obtained for the quadratic programming problem, reducing the power of the thruster and saving energy.

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Shanghai, China

Fan Yi