Interior ballistic charge design based on a modified particle swarm optimizer

Authors:
Cheng Cheng;Xiao-Bing Zhang
Affiliations:
School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing, China 210094;School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing, China 210094
Venue:
Structural and Multidisciplinary Optimization
Year:
2012

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Abstract

According to the limitation of the interior ballistic charge design with genetic algorithms and some other direct optimization methods, which has complex evolution operators such as crossover and mutation or has poor perferance in solution accuracy and speed, a modified particle swarm optimizer is proposed which is based on a geometrical way and a fuzzy multi-objective optimization. The modified particle swarm optimizer is used to both single-objective and multi-objective optimization problems of interior ballistic charge design for a guided projectile. The solution results show that the modified particle swarm optimizer has a better convergence rate and accuracy than the original particle swarm optimizer and other ever used optimization methods. Combined with deterred propellant technique, the interior ballistic charge design for a guided projectile is optimized by the modified particle swarm optimizer. The optimization results improve the interior ballistic performance and launch safety and provide theoretical direction for the interior ballistic charge design of guided projectile.