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弹药协调器等效模型主要参数辨识方法

Main Parameter Identification Method of Shell Transfer Arm's Equivalent Model
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摘要 为在弹药协调器故障诊断研究中建立精确的动力学模型,对其等效模型主要参数辨识方法进行研究。建立弹药协调器等效模型的数学模型,给出时间序列相似度计算方法,使用粒子群算法对模型中的主要参数进行辨识。结果显示:粒子群算法在弹药协调器等效模型的主要参数辨识中精度达到1.1%和1.4%,可为弹药协调器的动力学建模提供关键参数。 Aiming at establish accurate dynamic modeling in the research of fault diagnosis of shell transfer arm, research on main parameter identification method of shell transfer arm’s equivalent model. The mathematical model is established on the equivalent model of shell transfer arm, and the time series similarity evaluation method is established. The PSO algorithm is used to identify the main parameters in model. The results show that the accuracy of PSO in the main parameter identification of the shell transfer arm's equivalent model can achieve 1.1% and 1.4%. It can provide key parameter in the dynamic modeling of shell transfer arm.
作者 武乾康 王浩博 Wu Qiankang;Wang Haobo(School of Mechanical Engineering,Nanjing University of Science & Technology,Nanjing 210094,China)
出处 《兵工自动化》 2018年第9期53-56,60,共5页 Ordnance Industry Automation
基金 国家安全重大基础研究计划项目(6132490102)
关键词 弹药协调器等效模型 参数辨识 粒子群算法 时间序列相似度 shell transfer arm’s equivalent model parameter identification PSO time series similarity
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  • 1程志强,戴连奎,孙优贤.区间参数不确定系统优化的可行性分析[J].自动化学报,2004,30(3):455-459. 被引量:8
  • 2王国辉,王威.基于故障Petri网的自动装弹机故障诊断研究[J].火炮发射与控制学报,2004,25(4):55-58. 被引量:6
  • 3蒋峥,戴连奎,吴铁军.区间非线性规划问题的确定化描述及其递阶求解[J].系统工程理论与实践,2005,25(1):110-116. 被引量:14
  • 4Kennedy J, Eberhart R. Particle swarm optimization[A]. International Conference on Neural Networks[C]. Perth, Australia: IEEE, 1995. 1942-1948.
  • 5Elegbede C. Structural reliability assessment based on particles swarm optimization [ J ]. Structural Safety,2005, 27 (10):171-186.
  • 6Robinson J, Rahmat-Samii Y. Particle swarm optimization in electromagnetics[J]. IEEE Transactions on Antennas and Propagation, 2004, 52 (2). 397-406.
  • 7Salman A, Ahmad I, A1-Madani S. Particle swarm optimization for task assignment problem[J]. Microprocessors and Microsystems, 2002, 26 (8): 363-371.
  • 8Shi Y, Eberhart R. Empirical study of particle swarm optimization [A]. International Conference on Evolutionary Computation [C]. Washington, USA: IEEE,1999. 1945-1950.
  • 9Shi Y, Eberhart R. Fuzzy adaptive particle swarm optimization [A]. The IEEE Congress on Evolutionary Computation [C]. San Francisco, USA.. IEEE, 2001.101-106.
  • 10Eberhart R, Shi Y. Tracking and optimizing dynamicsystems with particle swarms [A]. The IEEE Congress on Evolutionary Computation [C]. San Francisco, USA: IEEE, 2001. 94-100.

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