摘要
建立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计算量大的缺点 ,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处理进行了改进 .考虑到主动控制系统的可靠性 ,为了进一步确定作动器 /传感器的最优配置 ,本文定义了一个可靠性指标 ,采用常规的Monte Carlo法计算各种配置的可靠性 ,在可靠性基础上最终确定最优配置方案 .
Based on the modal degree of controllability and least cost function, with a view to overcoming the defect of great calculation effort arising from combined optimization, in this paper, the genetic algorithm is adopted to solve the optimal dispositions of actuators/sensors of frame structures, meanwhile, the interaction of constraint conditions of conventional genetic algorithms is also improved in order to fit into the solution of frame structures. Furthermore, considering the reliability of active control systems, a reliability index is defined in order to confirm the sole optimal actuators/sensors disposition and is calculated by the traditional Monte-Carlo method. Finally, a numerical example is presented to show the effectiveness of the proposed method.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第6期746-749,共4页
Journal of Southeast University：Natural Science Edition
基金
江苏省自然科学基金资助项目 (BK2 0 0 3 0 83 )
河海大学科技创新基金资助项目 ( 2 0 0 2 410 0 43 )
关键词
框架
作动器/传感器
主动控制
可靠性
Actuators
Genetic algorithms
Monte Carlo methods
Optimization
Reliability
