关键词: 多体系统动力学, 多体系统传递矩阵法, 子集模拟优化, 鲁棒性设计优化

Abstract: The robust design of multibody weapon systems considering uncertain parameters had the problems of low efficiency in multibody system dynamics modeling, analysis and robust design solutions. Therefore, based on the probability theory and mathematical statistics, the uncertainties were formulated and characterized within multibody weapon systems, including quick identification and representation of random parameters, and the efficient simulation of load stochastic processes. Using naval artillery as an illustrative example, the multibody system transfer matrix method was quickly employed to ascertain the vibration quality of the artillery muzzles. The results were compared with ADAMS simulation outcomes. By harnessing PCE-Kriging(PCK) surrogate model, multi-objective subset simulation optimization method, and a single-cycle robust solution strategy, the original double-cycle robust design optimization problem was transformed into a single-cycle optimization problem and solved efficiently. Based on uncertain input, the dynamics model of multibody system transfer matrix method of a naval artillery and the PCK surrogate model, the robustness of the naval artillery model was finally designed using double-cycle and single-cycle robust design optimization methods. The performance of single-cycle robust design method was verified by comparing the optimization results. 

Key words: multibody system dynamics, multibody system transfer matrix method, subset simulation optimization, robust design optimization