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带活力因子的量子粒子群算法卫星基板模型修正

Model Updating of the Baseplates of Satellites Based on DQPSO
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摘要 将卫星基板等效为单层板结构计算其结构参数,在量子粒子群算法原理的基础上给算法增加活力因子,用带活力因子的量子粒子群算法对蜂窝板结构的卫星基板等效模型进行模型修正,然后将修正后的数据返回有限元软件MSC/NASTRAN再次计算,修正后模型计算所得动力学数据与试验数据能较好地吻合,证实等效的合理性和算法的有效性。 The baseplate of a satellite with honeycomb sandwich structure was equivalent to a single- layer board to calculate its structural parameters. The quantum particle swarm optimization algorithm (QPSO) was improved by adding a dynamic factor. Then the quantum particle swarm optimization algorithm with dynamic factor (DQPSO) was used to update the finite element model of the baseplate of the satellite. Returning the updated data to MAC/NASTRAN code, the dynamic data was re-calculated. The result shows that the dynamic data can match the test data. Therefore, the rationality of the equivalence and the availability of the algorithm were verified.
出处 《噪声与振动控制》 CSCD 2013年第5期45-47,共3页 Noise and Vibration Control
关键词 振动与波 卫星基板 结构参数 带活力因子的量子粒子群算法 蜂窝板 模型修正 vibration and wave baseplate of the satellite structural parameter quantum particle swarm optimization algorithm with dynamic factor (DQPSO) honeycomb sandwich plate model updating.
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