用自适应粒子群算法求解自激脉冲喷嘴结构参数模型  

Soving the self-excited pulsed nozzle structural parameters of the model by adaptive particle swarm algorithm

作　　者：周利坤[1,2] 刘宏昭[1] 

机构地区：[1]西安理工大学机械与精密仪器工程学院,西安710048 [2]武警工程大学装备运输系,西安710086

出　　处：《吉林大学学报（工学版）》2012年第6期1415-1420,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家火炬计划基金项目(07C26213711606);陕西省重点学科建设专项基金项目(102-00X903)

摘　　要：提出了用自适应粒子群优化算法求解自激脉冲喷嘴结构参数模型,以打击力输出最大为优化目标,对其喷嘴结构参数进行优化。通过试验验证了模型和算法的性能,给出了较为精确的模型和边界约束条件。试验结果表明:所建模型是合理的,自适应粒子群优化算法求解结果与试验结果能够较好地吻合,解决了自激脉冲喷嘴设计和制造边界条件不易定性表达的问题。In order to facilitate the design and manufacture of the self-excited pulsed nozzle（SEPN）,a structural parameter model was built by analyzing the structure of the nozzzle.An adaptive particle swarm optimization（APSO） algorithm was proposed to solve the model of the nozzle.Taking the maximum of the jet impact force as the target the structural parameters of SEPN were optimized.The performances of the model and the algorithm were validated by experiments,and the accurate boundary constraints of the model were obtained.The results showed that the built model is reasonable,the results calculated by APSO algorithm were in good agreement with experiment ones,solving the problem that the boundary conditions of the design and manufacture of SEPN were difficult to express qualitatively.

关 键 词：机械设计 自激脉冲喷嘴 结构参数模型 自适应粒子群算法 

分 类 号：TH137.53[机械工程—机械制造及自动化]