摘要
为了提高光电平台的动态特性,减少受激励源的振动响应,通过引入交叉算子、学习因子和混沌变异等,提出了一种改进粒子群算法,并采用改进粒子群算法与动力学联合优化的方法(APSO-ABAQUS)对机载光电平台进行多目标优化研究。首先建立了光电平台的有限元模型,并将该模型的模态计算结果与模态试验测试值进行对比,验证了光电平台有限元模型的有效性;然后将优化前仿真得到的光电平台的振动响应与随机振动试验得到的振动响应相比较,进一步验证模型有效;最后以振动响应、质量和刚度特性为优化目标,对光电平台进行优化。结果表明:优化前振动加速度峰值为641.30m/s^2,优化后的振动加速度峰值为375.68m/s^2,较优化前振动加速度峰值降低了41.42%;优化后光电平台基频由74.53Hz提高到107.36Hz,提高了44.04%,较大程度提升了平台的动刚度,有效提高了光电平台的动态性能;光电平台的质量由优化前的53.4kg减小至48.6kg,质量降低了8.64%,优化后光电平台的结构更加合理;建立的APSO-ABAQUS多目标优化模型是合理可行的,可为其他结构优化设计提供一定的借鉴。
To improve the dynamic characteristics of the electro-optical platform and reduce the vibration response of the excited source, an ameliorated particle swarm optimization algorithm is proposed by introducing crossover operator, learning factor and chaotic mutation.The ameliorated particle swarm optimization algorithm and the software ABAQUS are combined to realize multi-objective optimization of the airborne electro-optical platform. A finite element model of the electro-optical platform is established and the modal calculation results are compared with the modal test values to verify the model’s effectiveness. And the vibration response of the electro-optical platform obtained by the pre-optimization simulation is compared with that obtained by the random vibration test to further verify the model. Taking vibration response, mass and stiffness as the objectives, this electro-optical platform is completely optimized. The results show that the peak value of the vibration acceleration before optimization is reduced by 41.42% from 641.30 to 375.68 m/s^2, and the impact vibration response of the optimized platform is also reduced. Once optimization, the fundamental frequency of the platform is increased by 44.04% from 74.53 Hz to 107.36 Hz, the dynamic stiffness of the platform is greatly strengthened, the dynamic performance is effectively improved, and the weight of this electro-optical platform is reduced from 53.4 kg to 48.6 kg.
作者
刘国强
陈维义
陈华东
程晗
LIU Guoqiang;CHEN Weiyi;CHEN Huadong;CHENG Han(College of Ordnance Engineering,Naval University of Engineering,Wuhan 430033,China)
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2019年第6期92-100,共9页
Journal of Xi'an Jiaotong University
基金
国家自然科学基金资助项目(51679245)
国家自然科学基金青年基金资助项目(51509253)
关键词
机载光电平台
模态分析
ABAQUS软件
改进粒子群算法
振动响应
airborne electro-optical platform
modal analysis
ABAQUS
ameliorated particle swarm optimization
vibration response
