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Patent Searching and Data


Title:
ARTIFICIAL NEURAL NETWORK-BASED POWER POSITIONING AND THRUST DISTRIBUTION APPARATUS AND METHOD
Document Type and Number:
WIPO Patent Application WO/2020/135312
Kind Code:
A1
Abstract:
An artificial neural network-based power positioning and thrust distribution method and apparatus. The method relates to a quadratic programming problem among optimization problems, and by considering the rotation angle of a front propeller and by using an artificial neural network, the method can calculate the thrust coefficient of a rear propeller in constraints of a thrust distribution problem; and then on the basis of the optimization problem of minimizing the power of the propeller by solving with a sequential quadratic programming algorithm, the method obtains a thrust distribution scheme for an all-direction propeller. By introducing the concept of a thrust coefficient, the method and apparatus precisely quantify thrust loss, and enlarge a feasible area of a rotation angle of an impeller, so that a more optimized and reasonable result is obtained for a quadratic programming problem, thereby reducing the power of the impeller and saving energy.

Inventors:
WANG LEI (CN)
LI BO (CN)
YI FAN (CN)
WANG XUEFENG (CN)
HE HUACHENG (CN)
QIN LICHENG (CN)
Application Number:
PCT/CN2019/127352
Publication Date:
July 02, 2020
Filing Date:
December 23, 2019
Export Citation:
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Assignee:
UNIV SHANGHAI JIAOTONG (CN)
International Classes:
G05B13/04; B63B35/44
Foreign References:
CN109683479A2019-04-26
CN102508431A2012-06-20
JP2002173086A2002-06-18
Other References:
XIAODI ZHANG: "Research on Multi-step Optimization Algorithm of Ship Thrust Distribution", MASTER’S DISSERTATION, 31 July 2016 (2016-07-31), CN, pages 1 - 98, XP009521701
YAN ZHU: "Research on Thrust Distribution of Dynamic Positioning System", MASTER DEGREE THESIS OF JIANGSU UNIVERSITY OF SCIENCE AND TECHNOLOGY, 31 March 2016 (2016-03-31), pages 1 - 98, XP009521647
Attorney, Agent or Firm:
SHANGHAI BRIDGE INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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