Position: Home > Articles > Self-adapting Canal Automation Control Method Based on CMAC Neural Network
Journal of Irrigation and Drainage
2007,26
(2)
78-81
基于CMAC神经网络的自适应渠道输水自动控制研究
作 者：
韩延成;高学平;涂向阳;张晨
单 位：
天津大学水利水电系
关键词：
CMAC;PID;神经网络;控制;渠道;输水;非线性系统
摘 要：
介绍了小脑模型神经网络CMAC的原理及基于CMAC的自动控制方法。在渠道输水控制技术的基础上,依据CMAC神经网络学习速度快、能够表达复杂非线性关系、适合于适时控制的特点,提出了基于CMAC的渠道输水控制模型。仿真结果表明,基于CMAC的渠道输水控制,算法简单方便,具有实时性、稳定性和较强的鲁棒性,控制效果较为理想。
译 名：
Self-adapting Canal Automation Control Method Based on CMAC Neural Network
作 者：
HAN Yan-cheng 1,2,GAO Xue-ping1,TU Xiang-yang1,ZHANG Chen1(1.Colloge of Water Resources and Hydropower Engineer,Tianjin University,Tianjin 300072,China; 2.Administration of Yinhuangjiqing,Jinan 250013,China)
关键词：
CMAC;PID;neural network;control;canal;water delivery;nonlinear system
摘 要：
The paper presents the CMAC neural network theory and the automation control method based on CMAC.According to the characteristics,which CMAC can show the complex nonlinear relations,have quick training speed,and is fit for real-time control better,the CMAC canal control is created.The simulation results show that the canal control method based on CMAC is simple,and have the features of real-time,stability,robustness,and have better control results.
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