论文部分内容阅读
针对复杂结构的工程优化通常涉及到高度非线性的问题,采用基于迭代的传统优化算法可能无法获得全局最优解。在此研究背景下,文章引入量子粒子群优化算法(Quantum Particle Swarm Optimization,QPSO),提出了基于克里金(Kriging)代理模型的QPSO算法,通过构建环形桁架可展天线动力学性能的代理模型,对环形桁架可展天线结构参数进行了优化设计的应用研究。研究结果表明,基于Kriging代理模型的QPSO算法计算效率较高,环形桁架可展天线的基频及最大冲击响应面非线性特征显著,并通过将计算所得到的最优解与有限元解进行对比,验证了此方法的计算精度。由此可见,此方法的研究可为复杂结构的优化设计、研制提供一定的参考。
Engineering optimization for complex structures usually involves highly nonlinear problems, and global optimization may not be possible with traditional iterative optimization algorithms. In this research background, we introduce the QPSO (Quantum Particle Swarm Optimization) algorithm and propose a QPSO algorithm based on the Kriging agent model. By constructing a ring truss model that can represent the dynamic performance of the antenna, , The annular truss deployable antenna structure parameters optimized design and application research. The results show that the QPSO algorithm based on Kriging proxy model has higher computational efficiency, and the fundamental frequency and maximum impact response surface nonlinearity of the ring truss exhibit a significant nonlinearity. By comparing the calculated optimal solution with the finite element solution , Verify the calculation accuracy of this method. Thus, the study of this method can provide some reference for the optimization design and development of complex structures.