基于遗传算法的模糊振动主动控制器的参数编码设计和约束处理  

ENCODING AND CONSTRAINTPROBLEMS OF GENETICALGORITHMS FOR THEOPTIMIZATION OF FUZZY VIBRATIONCONTROL

作　　者：卢 青[1] 彭志科[1] 褚福磊[1] 黄靖远[1] 

机构地区：[1]清华大学精密仪器与机械学系,北京100084

出　　处：《机械工程学报》2002年第7期49-53,共5页Journal of Mechanical Engineering

基　　金：国家自然科学基金资助项目(59905016)

摘　　要：在采用模糊控制的压电材料智能结构中,利用遗传算法对模糊控制隶属函数进行优化时,遗传编码的设计将影响优化结果,从振动主动控制要求出发,设计了振幅输入模糊集的隶属函数参数编码,并对模糊子集约束条件进行处理。结果表明新的编码方式可以产生适合振动主动控制的隶属函数,且设计的约束修补算法简单有效。When the genetic algorithms are used to optimize the fuzzy logic controller, which is used for active vibration suppression, the encoding method is important for the results. According to the requirement of vibration control, an encoding method is presented for the membership functions of fuzzy logic control. Furthermore, the constraint problem is considered and solved. The numeric result shows that this encoding method can generate good individuals suitable for the requirement of active vibration control, and the amending algorithm for the constraint problem is simple and effective.

关 键 词：编码 约束处理 智能结构 遗传算法 模糊控制 振动控制 

分 类 号：TB535.1[理学—物理] TP273.4[理学—声学]