Optimization Design of Vibration Isolation System for Torpedo Borne Computer Based on Multi-objective Genetic Algorithm
-
摘要: 为解决复杂力学环境下雷载计算机的振动隔离问题, 提出了一种基于UG和ANSYS Workbench的联合优化设计方法。在UG中建立了隔振系统的参数化几何模型, 并导入ANSYS Workbench建立有限元模型。计算了原始设计方案的模态参数, 通过与模态试验结果对比, 验证了计算模型的正确性。随后依据隔振设计理论确定了优化目标函数, 使用多目标遗传算法对隔振系统进行了优化设计。通过对比可知, 优化方案较原始方案的最高阶固有频率降低了12.9%, 频率间隔降低了79.6%, 系统的有效隔振频率增加了39.1 Hz, 达到了良好的设计效果。Abstract: To solve the vibration isolation problem of torpedo borne computer in complex mechanical environment, this paper proposes a joint optimization design method based on UG and ANSYS Workbench. A parametric geometry model is established by UG and imported into ANSYS Workbench for finite element modeling. Modal parameters of the original design scheme are calculated and compared with the modal test data to prove the correctness of the calculation model. Then the optimal objective function is determined based on vibration isolation theory, and optimization design of the vibration isolation system is carried out using multi-objective genetic algorithm. Compared with the original design, the optimization scheme reduces the maximum natural frequency by 12.9% and the frequency interval by 79.6%, and increases the effective vibration isolation frequency by 39.1 Hz.
-
[1] 尹韶平, 刘瑞生. 鱼雷总体技术[M]. 北京: 国防工业出版社, 2011. [2] 周亚东, 雷宏杰, 董萼良, 等. 惯性导航平台橡胶减振器斜角布置方法[J]. 振动测试与诊断, 2014, 34(3): 447-451.Zhou Ya-dong, Lei Hong-jie, Dong E-liang, et al. Study on Placement Method for Rubber Dampers of Inertial Navigation Platform[J]. Journal of Vibration, Measurement & Diagnosis, 2014, 34(3): 447-451. [3] Kim S M, Elliott S J, Brennan M J. Decentralized Control for Multichannel Active Vibration Isolation[J]. IEEE Transactions on Control Systems Technology, 2001, 9(1): 93-100. [4] Vulcan A, Bloch M. A Low Noise Vibration Isolated Air-borne Radar Synthesizer[C]//45th Annual Symposium on Frequency Control. [s.l.]: IEEE, 1991: 330-336. [5] 宋昌才. UG NX8.5标准教程[M]. 北京: 科学出版社, 2016. [6] ANSYS Inc. ANSYS Workbench Help Document[M]. Canonsburg: ANSYS Inc, 2014. [7] 丁文镜. 减振理论[M]. 北京: 清华大学出版社, 2014. [8] Wang X D, Hirsch C, Kang S, et al. Multi-objective Optimization of Turbomachinery Using Improved NSGA-II and Approximation Model[J]. Computer Methods in Applied Mechanics and Engineering, 2011, 200(9): 883-895. [9] 周明, 孙树栋. 遗传算法原理及应用[M]. 北京: 国防工业出版社, 1999. [10] Yu L J, Liu S Y, Liu F M, et al. Energy Optimization of the Fin/Rudder Roll Stabilization System Based on the Multi-objective Genetic Algorithm[J]. Journal of Marine Science and Application, 2015(14): 202-207. [11] 李楠, 王明辉, 马书根, 等. 基于多目标遗传算法的水陆两栖可变形机器人结构参数设计方法[J]. 机械工程学报, 2012, 48(17): 10-20.Li Nan, Wang Ming-hui, Ma Shu-gen, et al. Mechanism- parameters Design Method of an Amphibious Transformable Robot Based on Multi-objective Genetic Algorithm[J]. Journal of Mechanical Engineering, 2012, 48(17): 10-20. [12] 李成冬, 孟春毅. 基于多目标遗传算法的汽车玻璃升降器结构优化设计[J]. 机械设计与制造, 2016(3): 253-256.Li Cheng-dong, Meng Chun-yi. Structure Research on Automotive Glass Riser with Multi-Objective Genetic Algorithm[J]. Machinery Design & Manufacture, 2016(3): 253-256.
点击查看大图
计量
- 文章访问数: 1190
- HTML全文浏览量: 3
- PDF下载量: 350
- 被引次数: 0