基于多变量MIC神经PID智能板的主动控制  

Active vibration control for intelligent piezo-electric plate base on multivariable MIC and meural PID

作　　者：伍松[1] 张彦会[1] 

机构地区：[1]广西工学院汽车工程系,柳州545006

出　　处：《机械设计与制造》2012年第4期213-215,共3页Machinery Design & Manufacture

基　　金：广西教育厅科研项目资助(201012MS128);广西工学院科学基金项目(院科自1166106)

摘　　要：智能压电材料由于它的正逆压电效应,故在噪声及振动的主动振控制中应用越来越多,基于薄板理论并且利用有限元的方法对压电板进行离散化,推导出智能压电板的有限元动力学方程,并且应用多变量MIC网络神经PID算法,对其进行控制,利用MATLAB编程分几种情形进行数字仿真,对响应曲线进行分析,仿真结果表明该方法能有效抑制层合板的振动,达到对智能层合板的主动控制,特别是模型失配时仍然有较好的控制,很好地解决了这类智能板模型易变的控制问题,相对一般的控制方法具有较强适应性。Because of the positive and negative piezoelectric effect of intelligent Piezo-electric material,the application of it has been more and more in noise and active vibration controlling.According to thin plate theory and finite element method piezoelectric plate is discretized to deduce finite element dynamics equation of intelligent Piezo-electric plate.In addition the plate is controlled by applying multivariable MIC and net PID,and response curves are analyzed through digital simulation for several situations by matlab numerical system.The result proves that the method can effectively control vibration of the laminated plate to reach the research purpose of active vibration control and suppression for laminated plate,in particular in situation of model being unmatched,which well solve variable control problems of intelligent plate model with strong adaptability.

关 键 词：多变量MIC 网络神经PID 智能板 压电材料 

分 类 号：TH16[机械工程—机械制造及自动化]