[1]QIU Jian-bin,WANG Shao-bo.An improved PID controller based on an evolutionary neural network[J].CAAI Transactions on Intelligent Systems,2008,3(3):245-249.
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An improved PID controller based on an evolutionary neural network
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
3
Number of periods:
2008 3
Page number:
245-249
Column:
学术论文—智能系统
Public date:
2008-06-25
- Title:
- An improved PID controller based on an evolutionary neural network
- Keywords:
- evolutionary neural networks; evolutionary algorithm; neural networks; piecewise control; PID
- CLC:
- TP13
- DOI:
- -
- Abstract:
- A P ID controller design based on an evolutionary neural network is p resented. It consists of three parts. In the first part, a neural network is used to op timize and adjust P ID parameters in real time. In the second part, the parameters of the neural network are op timized by an evolutionary algorithm. The third part is a traditional P ID controller. A simulation wasmade of a temperature control system which showed that this controller is characterized by a simp le structure, robust adap tation, and good evolutionary performance. An imp roved scheme with more rap id response is also p resented.
- References:
-
[1] 林希,王劭伯. 预估式变参数PID控制算法的研究[J]福州大学学报(自然科学版), 2005,(06) .
[2] 姚望舒,万琼,陈兆乾,王金根. 进化神经网络研究综述[J]计算机科学, 2004,(03) .
[3] 杨国军,崔平远,李琳琳. 遗传算法在神经网络控制中的应用与实现[J]系统仿真学报, 2001,(05) .
[4] 王清,马广富,弥曼. 一种基于遗传算法的神经网络控制方法研究[J]系统仿真学报, 2006,(04) .
[5] 黄友锐. 基于遗传神经网络的自整定PID控制器[J]系统仿真学报, 2003,(11) .
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Last Update:
2009-05-14