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免疫遗传算法在智能桁架结构振动主动控制系统优化设计中的应用
  • 期刊名称：《机械工程学报》第44卷第2期，2008年2月，pp196-200
  • 时间：0
  • 分类：TP311.51[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]清华大学精密仪器与机械学系,北京100084, [2]北京特种车辆研究所,北京100072
  • 相关基金：国家杰出青年科学基金资助项目（50425516）.
  • 相关项目：机械动力学
关键词： 智能桁架结构, 免疫遗传算法, 振动主动控制, Intelligent truss structures Immune genetic algorithm Active vibration control
中文摘要：

研究智能桁架结构中主动构件的配置和反馈增益的同步优化问题。基于有限元法，建立智能桁架结构的机电耦合有限元模型。根据结构的最大耗散能理论，建立智能桁架结构中主动构件的位置和反馈增益的同步优化的目标函数。最后，采用免疫遗传算法解决这一个同时含有离散和连续变量的优化设计问题，并通过一个平面16杆智能桁架结构的振动主动控制系统的优化设计和数值仿真，表明所提出的优化设计方法和优化算法的有效性。

英文摘要：

The integrated optimization design of active vibration control system for intelligent truss structures, including the feedback gains and the positions of active/passive members, is formulated. A performance function is initially developed, based on the maxi- mization of energy dissipation due to active vibration control action. A novel constrained immune genetic algorithm is presented to solve the kind of optimization problem with the discrete and continuous design variables. Than, according to the characteristics of the optimal problem, a new problem-specific encoding scheme, some special ＂immune genetic＂ operators and a novel antibody similarity computation method are proposed and discussed. A numerical example of a 16-bar planar intelligent truss structure is presented to demonstrate the rationality and validity of this methodology, and some useful conclusions are obtained.

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期刊论文 98 会议论文 17 获奖 6 著作 2
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