Underwater towing cable steady-state motion multi-objective optimization method and system

Abstract

The invention provides an underwater towing cable steady-state motion multi-objective optimization method and system, and the method comprises the steps: building a mathematic model of underwater towing cable motion, and calculating a towing cable steady-state motion control equation; selecting parameters for determining the state of the towing cable, selecting a sample point within the value range of the parameters, calculating the towing depth of the tail end and the tension of the head end of the towing cable to obtain the response of the sample point, and establishing a second-order polynomial response surface model of the towing depth of the tail end and the tension of the head end; and taking the maximum tail end dragging depth and the minimum head end tension as optimization objectives, and obtaining a Pareto optimal solution set of parameters by adopting a multi-objective genetic algorithm. Through the scheme, the problem that the influence degree of the parameters on the steady-state motion of the towing cable is difficult to accurately determine is solved, and the influence of each parameter on the towing cable state can be accurately analyzed.

Description

technical field [0001] The invention relates to the field of underwater streamers, in particular to a multi-objective optimization method and system for underwater streamer steady-state motion. Background technique [0002] As an underwater detection device, the underwater towed system is widely used in many fields such as ocean monitoring, resource exploration and military affairs. The line array is a key component of the underwater towed system, and its hydrodynamic characteristics directly affect the rapidity, maneuverability and stability of the entire underwater vehicle system. is of great significance. [0003] In recent years, optimization methods based on response surfaces have been widely used in robust design and proxy models for multi-objective and multi-disciplinary optimization design. This approximate model technology is a method of constructing an approximate objective function and constraints based on the initial data set. It also provides an efficient solu...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a multi-objective optimization method and system for underwater streamer steady-state motion to solve the problem that it is difficult to accurately determine the degree of influence of parameters on the steady-state motion of the streamer

Images