| 基于CMAC神经网络的自适应渠道输水自动控制研究 |
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| 引用本文： | 韩延成,高学平,涂向阳,张晨.基于CMAC神经网络的自适应渠道输水自动控制研究[J].灌溉排水学报,2007,26(2):76-79. |
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| 作者姓名： | 韩延成 高学平 涂向阳 张晨 |
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| 作者单位： | 1. 天津大学,水利水电系,天津,300072;山东省引黄济青工程管理局,山东,济南,250013
2. 天津大学,水利水电系,天津,300072 |
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| 基金项目： | 山东省重点科研项目(2006,6) |
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| 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。
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| 关 键 词： | CMAC PID 神经网络 控制 渠道 输水 非线性系统 |
| 文章编号： | 1000-646X(2007)02-0076-04 |
| 修稿时间： | 2006-07-10 |
Self-adapting Canal Automation Control Method Based on CMAC Neural Network |
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| HAN Yan-cheng,GAO Xue-ping,TU Xiang-yang,ZHANG Chen.Self-adapting Canal Automation Control Method Based on CMAC Neural Network[J].Journal of Irrigation and Drainage,2007,26(2):76-79. |
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| Authors: | HAN Yan-cheng GAO Xue-ping TU Xiang-yang ZHANG Chen |
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| Institution: | 1. Colloge of Water Resources and Hydropower Engineer, Tianiin University, Tianjin 300072, China ; 2. Administration of Yinhuangjiqing, Jinan 250013, China |
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| Abstract: | 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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| Keywords: | CMAC PID neural network control canal water delivery nonlinear system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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