›› 2013, Vol. 33 ›› Issue (4): 76-82.doi: 10.3780/j.issn.1000-758X.2013.04.011

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Quantum Particle Swarms Optimizations Algorithm Based on Surrogate Model for the Application of Structural Optimization

 HE  Xing-Xing1, LIAO  Ying1, LI  Zhi1,2   

  1. (1 College of Aerospace and Material Engineering, National University of Defense Technology, Changsha 410073) (2 China Academy of Space Technology, Beijing 100094)
  • Received:2012-09-11 Revised:2012-11-12 Published:2013-08-25 Online:2013-08-25

Abstract: The traditional optimization algorithms might fail to get the global optimal solution for high non-linear characteristics in engineering optimization of multi-structures. So the Quantum Particle Swarm Optimization (QPSO) algorithm was induced and the QPSO algorithm based on surrogated model was studied. The applications to the structural parameter optimization of the ring truss deployable antennas were carried out by the surrogated model of dynamic characters for ring truss deployable antennas. The results show that the computation efficiency of QPSO algorithm based on Kriging model is acceptable. The non-linear characteristics of the 1st natural frequency and maximum impulse response of the ring truss deployable antennas are remarkable. Then the computation accuracy is validated by comparing the solutions between the optimal result and the finite element result. It′s proved that QPSO algorithm based on Kriging model can be used to optimize the complicated structures in engineering design.

Key words: Quantum particle swarms optimizations, Surrogate model, Kriging model, Ring truss structure, Deployable antenna, Structural optimization, Spacecraft