摘要
针对飞机复合材料构件损伤的图像重构问题,对免疫算法和粒子群算法的混合算法进行了研究。以同面多电极系统为平台,利用有限元分析方法求解电容层析成像的正问题,得到灵敏度矩阵,并将灵敏度矩阵由有限元剖分域转换到图像重构域;混合算法将像素灰度向量作为粒子,利用粒子群优化算法进行寻优,并利用免疫算法进行粒子克隆、突变和抑制,避免粒子群陷入局部最优解;仿真结果表明,混合算法在60代左右达到收敛,而基本粒子群算法在100代仍未收敛;因此,混合算法能够以较好的精度和速度重构出损伤灰度图像。
Aiming at image reconstruction for damages of composite component on aircraft , a hybrid algorithm integrated IA with PSO is studied. On the platform of uniptanar multi--eleetrode system, the positive problem of ECT is solved by finite element analysis and sensi- tivity matrix is calculated. Then sensitivity matrix is converted from finite element mesh to image reconstruction mesh. In the hybrid algo- rithm, pixel vector is taken for particle. PSO is used to seek the optimum. Clone, mutation and inhibition are used to avoid partial optimum. Simulation results show that, the hybrid algorithm convergence is reaehed at about 60 generations, but the PSO eonvergence is still not reached at 100 generations. So damaged section image can be reconstructed with better accuracy at a higher speed using the hybrid algorithm.
出处
《计算机测量与控制》
北大核心
2013年第8期2152-2154,共3页
Computer Measurement &Control
