基于LabVIEW的神经网络自适应逆控制系统  

Neural Networks Adaptive Inverse Control System Based on LabVIEW

作　　者：胡金池[1] 孙业余[1] 杜进[1] 李明[1] 

机构地区：[1]西南林业大学机械与交通学院,云南昆明650224

出　　处：《测控技术》2013年第3期45-48,共4页Measurement & Control Technology

基　　金：国家自然科学基金资助项目(31100424);云南省大学生创新性实验计划资助项目(50106010)

摘　　要：目前基于人工神经网络的非线性自适应逆控制研究主要集中在Matlab仿真研究方面,无法直接推广为实际应用。为此,采用基于LabVIEW的动态神经网络非线性自适应逆控制方法,首先在LabVIEW中建立动态神经网络结构及在线学习算法,并依此建立非线性对象的辨识器和逆控制器等模型;然后构建完整的非线性对象自适应逆控制系统,并在LabVIEW环境中通过仿真验证了系统性能。通过配置相应的数据采集设备,该系统可以直接推广为实际应用。The research on nonlinear adaptive inverse control based on artificial neural network is mainly con- centrated in studying the Matlab simulation currently, which can not promote the practical application directly. Therefore, an adaptive inverse control system based on dynamic neural networks building in LabVIEW software is presented. Firstly, a kind of dynamic neural network is built and its online training algorithm is designed in LabVIEW. An identification and inverse controller of nonlinear plant are established by such dynamic neural network respectively, and so on. Then the integrated nonlinear adaptive inverse control system based on the dy- namic neural networks is constructed. The performance of the system is verified by simulation in LabVIEW. With some data acquisition devices, this system can be directly extended to practical application.

关 键 词：LABVIEW 动态神经网络 自适应逆控制 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]