| 基于BP神经网络整定的蒸汽发生器水位PID控制及仿真研究 |
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| 引用本文： | 汪望斗,张广福.基于BP神经网络整定的蒸汽发生器水位PID控制及仿真研究[J].船海工程,2006,35(5):78-81. |
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| 作者姓名： | 汪望斗 张广福 |
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| 作者单位： | 海军工程大学船舶与动力学院,武汉,430033 |
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| 摘 要： | 将神经网络与PID控制结合起来,提出了基于BP神经网络整定的蒸汽发生器水位PID控制方法,采用BP学习算法调整控制器神经网络的连接权值,通过对系统性能的学习实现了控制器参数的在线整定,仿真结果表明,所设计的控制器具有良好的控制性能。
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| 关 键 词： | 核动力蒸汽发生器 水位控制 神经网络 在线整定 仿真 |
| 文章编号： | 1671-7953（2006）05-0078-04 |
| 收稿时间： | 2005-11-18 |
| 修稿时间： | 2006-05-19 |
BP neural network-adjusting PID control and simulation for the water level in the nuclear steam generator |
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| Authors: | WANG Wang-dou ZHANG Guang-fu |
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| Institution: | WANG Wang-dou ZHANG Guang-fuSchool of Naval Architecture and Power Engineering Naval University of Engineering Wuhan 430033 |
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| Abstract: | Combining neural network with PID control technique,a method of BP neural network-tuning PID control for the water level control in the nuclear steam generator is proposed.The back propagation algorithm is adopted to update the weights of the neural-network.The controller parameter is on-line adjusting achieved through learning the system capability.The performance of the designed controller is demonstrated by the results of simulation. |
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| Keywords: | nuclear steam generator water level control neural network on-line adjusting simulation |
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