基于GRNN的非线性预测控制及其IPC实现  

Nonlinear Predictive Control Based on GRNN and Its Implementation with IPC

作　　者：谢树平[1] 彭宇宁[1] 

机构地区：[1]广西大学电气工程学院,广西南宁530004

出　　处：《测控技术》2010年第1期51-54,共4页Measurement & Control Technology

基　　金：广西壮族自治区教育厅资助项目(200808MS155)

摘　　要：阐述了一种基于泛回归神经网络(GRNN)的非线性预测控制算法,在Simulink下进行了相应的仿真,得到了较好的效果,并且应用Simulink/RTW代码生成技术将仿真算法文件生成可调用执行的动态链接库,提供给LabVIEW调用。实现了仿真代码到实现代码的快速原型化。最后在HUATEC A3000非线性对象上,投入运行,取得了良好效果。A predictive control algorithm based on GRNN is presented. A simulation in the Matlab/Simulink was done, which got good effect. Using the Simulink/RTW code generation technique, a dynamic link library of the algorithm was built, which can be caledl by the LabVIEW. The above work realizes the fast prototype from simulation code to executive module. Finally, a real time control is launched on HUATEC A3000 experimental platform of advanced process control, and it performs well.

关 键 词：泛回归神经网络 非线性预测控制 Simulink/RTW LABVIEW 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]