| 基于遗传算法的智能框架结构作动器最优配置 |
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| 引用本文： | 周星德,汪凤泉.基于遗传算法的智能框架结构作动器最优配置[J].应用科学学报,2002,20(1):90-93. |
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| 作者姓名： | 周星德 汪凤泉 |
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| 作者单位： | 东南大学工程力学系, 江苏南京 210096 |
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| 摘 要： | 在模态可控度及最小费用函数的基础上,针对目前因使用组合优化来布置作动器所带来的困难,采用遗传算法来确定振动主动控制中作动器的最优配置.为适于框架结构的具体计算,对常规遗传算法约束条件的引入进行了改进,最后给出了计算实例.算例表明这一方法是有效的.
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| 关 键 词： | 最优配置 框架 遗传算法 主动控制 |
| 文章编号： | 0255-8297(2002)01-0090-04 |
| 收稿时间： | 2000-08-30 |
| 修稿时间： | 2001-04-04 |
Optimal Disposition of Actuators in Intelligent Frame Structures Based on Genetic Algorithm |
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| ZHOU Xing de,WANG Feng quan.Optimal Disposition of Actuators in Intelligent Frame Structures Based on Genetic Algorithm[J].Journal of Applied Sciences,2002,20(1):90-93. |
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| Authors: | ZHOU Xing de WANG Feng quan |
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| Institution: | Department of Mechanics, Southeast University, Nanjing 210096, China |
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| Abstract: | This paper is based on the modal degree of controllability and the least cost function with a view to overcoming the difficulties faced arising out of the application of combined optimization to disposition actuators. In the paper, the genetic algorithm is used to solve the optimal disposition in active vibration control. The introduction of constraint condition in to conventional genetic algorithm is improved to fit into the solution of frame structures. Finally, a numerical example is presented to show the effectiveness of the method. |
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| Keywords: | genetic algorithm active control optimal disposition frame |
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