The method of comprehensive performance optimization design for trimaran unmanned vehicle. Issue 1 (August 2021)

• Record Type: Journal Article
• Authors: Zhang, Jincheng; Ke, Weishun; Han, Xiaofeng; Yang, Songlin
• Is Part Of: Journal of physics. Volume 2003:Issue 1(2021)
• Publication Date: 2021-08
• Subjects: USV -- Performance optimization -- GA -- PSO -- Improved algorithm -- Penalty function; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2003/1/012014
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The comprehensive performance optimization design of the trimaran unmanned vehicle can be summarized as a complex optimization design problem with multiple objective functions under multiple constraints. First, this paper uses the towing resistance test data of a certain ship model to establish a ship type and resistance database using the response surface fitting method. Then, a single total objective function is used in the form of power exponential product to normalize the objective functions of the trimaran unmanned craft's speed, maneuverability and seakeeping. Secondly, the constraint conditions are the upper and lower limits of the design variables, the penalty function is composed of multiple equality and inequality constraints involved, the fitness function is established, and a more complete comprehensive optimization mathematical model is constructed. Finally, the overall performance of the trimaran unmanned vehicle is optimized by genetic algorithm, particle swarm algorithm and two improved optimization algorithms. Discussed the pros and cons of each optimization algorithm and the sensitivity of the influence factor under the parallel strategy, compared and analyzed the calculation results of each optimization algorithm, selected the best optimization calculation plan, and obtained the best optimization calculation result, which is trimaran how to ensure the comprehensive and optimal navigation performance during the design of unmanned boats provides a practical way and method.