Abstract
Multidisciplinary Design Optimization (MDO) is proposed for the design of the lines of an underwater robot. Hydrodynamic performances of the underwater robot are concerned about in the design, including the resistance and the manoeuvrability. A method of MDO, Collaborative Optimization (CO), is adopted. To improve the efficiency of optimization, approximate models are established in sub-disciplines. Also, an artificial intelligent technique, Particle Swarm Optimization (PSO), is incorporated into the CO framework. The optimization design of the lines of the underwater robot is carried out on an Isight platform, an automatic integration optimization platform. Through the platform, the optimization design of the lines and the analysis of the hydrodynamic performances can be achieved automatically with high efficiency. An autonomous underwater vehicle (AUV), SUBOFF, is taken as a verification model. For different lines, CFD calculation is performed to analyze the resistance and manoeuvrability. By comparison, the optimal lines of the hull and the fairwater are determined.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
