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Thrust force distribution method of power location system of ship adopting genetic algorithm

A technology of dynamic positioning system and genetic algorithm, applied in the field of thrust distribution of ship dynamic positioning system

Active Publication Date: 2012-03-21
WUXI ZHONGXUN TECH
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Problems solved by technology

[0006] The present invention is to solve the above-mentioned problems and overcome the defects existing in the prior art of distributing the power of propellers on ships. The present invention provides a ship dynamic positioning system thrust distribution method using genetic algorithm to solve the above-mentioned defects and problems

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  • Thrust force distribution method of power location system of ship adopting genetic algorithm
  • Thrust force distribution method of power location system of ship adopting genetic algorithm
  • Thrust force distribution method of power location system of ship adopting genetic algorithm

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Embodiment Construction

[0050] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations. The algorithm of the invention is divided into two parts, the first part is to transform the thrust allocation problem into an optimization problem, and the second part is to solve the optimization problem by using genetic algorithm.

[0051] figure 1 It is a schematic diagram of the propeller arrangement on the ship 100 . This schematic diagram takes a certain shuttle tanker as a model, and uses this model as a calculation object to illustrate the method of the present invention. There are 5 propellers T1-T5 on the ship 100, T1 is the bow thruster, T2 is the bow full rotation, T3 is the stern full rotation, T4 is the stern thruster, and T5 is the main thruster. Maximum speed of azimuth change of azimuth thrusters T2 and T3 Thrust maximum chan...

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Abstract

The invention belongs to the technical field of automatic control and relates to a thrust force distribution method of a power location system of a ship adopting a genetic algorithm, which comprises a step 31, converting the problem of thrust force distribution into a problem of optimization; and a step 32, resolving the problem of the thrust force optimization by means of the genetic algorithm, wherein the target function of the problem of the optimization serves as a fitness function in the genetic algorithm and a restricting condition of the problem of the optimization serves as a resolution range in the genetic algorithm. The thrust force distribution method resolves the problem of the thrust force distribution by means of the genetic algorithm so as to effectively resolve the problem that the target function and the restricting condition contain non-linear items and accordingly greatly enlarges the range of resolvable problems. The method can effectively distribute the trust force in a longitudinal direction, a transverse direction and a yawing direction onto thrusters and can effectively avoid strange structures. The thrust force distribution method can be widely applied to the thrust force distribution of various numbers of thrusters of various ships, and generate maximum thrust force with minimum energy, thereby greatly saving energy.

Description

technical field [0001] The invention relates to a method for distributing thrust of a dynamic positioning system of a ship, in particular to a method for distributing thrust of a dynamic positioning system of a ship using a genetic algorithm. Background technique [0002] Genetic Algorithm (Genetic Algorithm) is a kind of randomized search method evolved from the evolution law of the biological world (survival of the fittest, survival of the fittest genetic mechanism). It was first proposed by Professor J.Holland in the United States in 1975. Its main feature is to directly operate on structural objects, without restrictions on derivation and function continuity; it has inherent implicit parallelism and better global optimization capabilities. ; Using a probabilistic optimization method, it can automatically obtain and guide the optimized search space, and adjust the search direction adaptively, without definite rules. These properties of genetic algorithms have been widely...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06N3/12
Inventor 丁亮吴琳沈江叶道亮
Owner WUXI ZHONGXUN TECH
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