Multidisciplinary Optimization Design of the Submarine based on Collaborative Optimization Algorithm

ABSTRACT

MDO (Multidisciplinary Design Optimization, MDO) is the most active field of current research on complex system engineering design. To solve the low resistance, low noise and high mobility multidisciplinary design optimization problems of submarine shape, based on multidisciplinary collaborative optimization framework, divided the optimization design of submarine shape into three disciplines multidisciplinary optimization design problem of a system-level and containing hydrodynamic discipline, flow noise discipline, maneuverability discipline. For traditional multidisciplinary collaborative optimization algorithm solving actual complex MDO problem facing the defects of convergence difficulties and calculating time-consuming, presented a realistic improved new collaborative optimization (NCO) algorithm and applied it to the multidisciplinary optimization of the submarine shape. Meanwhile, the use of response surface meta-model solved the coupling problem between discipline-level and system-level. The results show that, NCO can guarantee the stability and reliability of the submarine shape low resistance, low noise and high mobility multidisciplinary optimization design convergence results, the build of response surface meta-model between discipline-level and system-level can effectively improve the convergence rate.

Keywords:

Low noise, low resistance, mobility, multidisciplinary collaborative optimization, response surface meta-model.