基于模糊神经网络的简支板结构振动控制研究  

Study on Vibration Control of Simply Supported Plate Based on Fuzzy Neural Network

作　　者：缑新科[1,2] 刘彬 GOU Xinke;LIU Bin(College of Electrical and Information Engineering,Lanzhou University of Teehnology,Lanzhou 730050;Key Laboratory of Gansu Advanced Control for Industrial Processes,Lanzhou 730050)

机构地区：[1]兰州理工大学电气工程与信息工程学院,兰州730050 [2]甘肃省工业过程先进控制重点实验室,兰州730050

出　　处：《计算机与数字工程》2018年第8期1564-1567,1607,共5页Computer & Digital Engineering

摘　　要：提出利用锆钛酸铅镧改性陶瓷(PLZT)的光致伸缩效应,将PLZT陶瓷制作为作动器;以智能层合简支板为研究对象,利用模态分析方法建立了层合简支板的模态控制方程。在此基础上,设计了基于RBF网络模型的模糊神经网络主动控制器和相关参数调整学习算法。为了验证所提出的控制策略的有效性,使用Matlab进行了数值仿真;仿真结果表明,提出的模糊神经网络控制器能够有效地实现对智能层合简支板的振动控制。The lanthanum modified lead zirconate titanate ceramics（PLZT）is used as an actuator by using its photo-telescoping effect,With smart laminated simply plate as the research object,the modal vibration control equation for photoelectric laminated simply supported plate was established by using the modal analysis method. On this basis,a fuzzy neural network active controller based on RBF network model and relevant parameters adjustment learning algorithm are designed. In order to verify the effectiveness of the proposed control strategy,a numerical simulation is carried out by using Matlab. the numerical simulation results show that the proposed fuzzy neural network controller can effectively realize the vibration control of the intelligent laminated simply supported plate.

关 键 词：PLZT作动器 模糊神经网络控制器 振动控制 

分 类 号：TB535[理学—物理]