陈学前, 汪小华, 张培强. 结构基于独立模态空间控制的神经网络控制[J]. 力学与实践, 2003, 25(1). DOI: 10.6052/1000-0992-2001-273
引用本文: 陈学前, 汪小华, 张培强. 结构基于独立模态空间控制的神经网络控制[J]. 力学与实践, 2003, 25(1). DOI: 10.6052/1000-0992-2001-273
THE NEURAL NETWORK CONTROL BASED ON INDEPENDENT MODAL SPACE CONTROL OF STRUCTURE[J]. MECHANICS IN ENGINEERING, 2003, 25(1). DOI: 10.6052/1000-0992-2001-273
Citation: THE NEURAL NETWORK CONTROL BASED ON INDEPENDENT MODAL SPACE CONTROL OF STRUCTURE[J]. MECHANICS IN ENGINEERING, 2003, 25(1). DOI: 10.6052/1000-0992-2001-273

结构基于独立模态空间控制的神经网络控制

THE NEURAL NETWORK CONTROL BASED ON INDEPENDENT MODAL SPACE CONTROL OF STRUCTURE

  • 摘要: 在对柔性结构振动的主动控制中,独立模态空间控制是一种适合于柔性结构振动控制的方法,但如果控制器选择不好就会带来观测溢出和控制溢出. 神经网络控制则具有较好的泛化作用和鲁棒性,对抑制观测溢出和控制溢出具有较好的效果. 本文在独立模态空间控制的基础上设计了一种神经网络控制,并对柔性梁及板进行了控制的数值仿真,取得了较好的效果.

     

    Abstract: In all active control methods for the vibration offlexible structures, independent modal space control(IMSC) is anappropriate method to control the vibration of the structure. But itmay bring about the observation-spillover and the control-spillover for thestructure if an appropriate controller has not beenchosen. The neuralnetwork control enjoys better robustness, which suppresses the spilloverefficiently. In this paper, a neural network controller based onindependent modal space control(IMSC) is designed. Simulation resultson flexible beams and plates show its effectiveness.

     

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