摘要
遗传算法是一种自适应、启发式、全局优化的搜索算法,在结构振动控制等复杂控制领域得到了广泛的应用,本文针对磁流变弹性体自调谐式吸振器难以建立准确的控制模型的特点,通过改进基本遗传算法,设计和实现了一种同时控制多个吸振器的联合控制算法,该方法在协调控制时,根据多个吸振器协调控制对控制量的要求采用指定位交叉产生新个体,与通过随机位交叉产生的新个体相比,这样能以较大的概率产生更健壮的新个体,从而使算法更快收敛。将该算法应用到两个吸振器联合控制的实验系统中,在吸振器移频范围内,被减振系统各观测点均有较好的减振效果,当吸振器与主系统质量比为1∶19.8时,减振效果最高约12dB,主被动减振效果之差最佳时达7dB。
Genetic algorithm （GA） is a kind of search algorithm, which is sel＆adaptive, heuristic and global optimization. It has been widely used in structural vibration control and other areas of complex control. In this paper, a kind of new joint control algorithm based on GA has been proposed and realized. It can also be used to control multiple adaptive tuned vibration absorbers. This algorithm adopts the appointed position crossover to obtain new individual. Compared with the traditional method, this method has a greater probability to obtain more robust individual and enable the calculation to converge faster. The new algorithm was applied to a double absorber joint control experiment system. Within the adaptive absorber＇s whole working frequency scale, damping effect at every observation point in the primary system is obviously observed. When the mass ratio between absorber and primary system is 1 ： 19.8, its best attenuation can reach 12dB, and 7dB higher than that of passive absorber at the best effective frequency.
出处
《实验力学》
CSCD
北大核心
2008年第2期97-102,共6页
Journal of Experimental Mechanics
基金
中国科学院“百人计划”项目
国家自然科学基金(10672154)
高等学校博士学科点专项科研基金(20050358010)
关键词
磁流变弹性体
动力吸振器
振动控制
遗传算法
magnetorheological elastomers （MRE）
dynamic vibration absorber
vibration control
genetic algorithms
