摘要
针对转子轴系失衡矢量辨识存在效率低下、构建模型复杂及求解过程中的病态问题等,应用优化搜索的思想解决反问题求解过程中存在的病态问题,基于粒子群算法对优化算法进行了改进,有效提升了算法的效率和精度,扩展了算法的使用边界。最后,通过失衡矢量参数识别和多位置失衡矢量参数识别进行了仿真,验证了算法的有效性。
In view of the low efficiency,complex model construction and ill conditioned problems in the process of solving the imbalance vector identification of rotor shafting,the idea of optimal search is applied to solve the ill posed problems in the process of solving inverse problems.The optimization algorithm was improved based on particle swarm optimization algorithm,effectively improved the efficiency and accuracy of the algorithm,and the using boundary of the algorithm was expanded.Through the simulation of imbalance vector parameter identification and multi position imbalance vector parameter identification,the effectiveness of the algorithm is verified.
作者
郭力
GUO li(Shaanxi Institute of Technology,Xi’an 710300)
出处
《航空精密制造技术》
2022年第5期44-47,共4页
Aviation Precision Manufacturing Technology
基金
陕西国防工业职业技术学院科研基金项目(Gfy22-38)
陕西省教育科学规划课题(SGH21Y0518)
关键词
粒子群
转子系统
失衡矢量
优化识别
particle swarm optimization
rotor system
unbalance vector
optimal identification
作者简介
郭力(1981-),男,硕士,副教授。
