| 基于PID神经网络的主汽温系统设计与仿真 |
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| 引用本文： | 肖忠,玉瑞,王清.基于PID神经网络的主汽温系统设计与仿真[J].系统仿真学报,2011,23(10):2195-2199. |
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| 作者姓名： | 肖忠 玉瑞 王清 |
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| 作者单位： | 1. 广州大学机械与电气工程学院,广州,510006
2. 广东省代建项目管理局,广州,510045 |
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| 摘 要： | PID神经网络是将PID控制规律融入神经网络的一种智能控制技术，它既具有常规PID控制结构简单、参数物理意义明确的优点，又具有神经网络非线性映射能力强、自学习、自适应的功能。针对主汽温控制系统大滞后、非线性、时变等特性，综合考虑控制系统的动态、静态性能，PID神经网络对控制系统进行全工况的学习与优化设计，并进行了主汽温...
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| 关 键 词： | PID 神经网络 主汽温 串级控制 |
Development and Simulation of Main Steam Temperature System Based on PID Neural Networks |
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| XIAO Zhong,YU Rui,WANG Qing.Development and Simulation of Main Steam Temperature System Based on PID Neural Networks[J].Journal of System Simulation,2011,23(10):2195-2199. |
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| Authors: | XIAO Zhong YU Rui WANG Qing |
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| Institution: | XIAO Zhong1,YU Rui2,WANG Qing1(1.School of Mechanical and Electrical Engineering,Guangzhou University,Guangzhou 510006,China,2.Guangdong Provincial Administration of Agent-Projects,Guangzhou 510045,China) |
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| Abstract: | The PID neural networks(PIDNN) is a intellective-control technology by combining PID control rule with neural network.It has the advantages of simple structure,clear physical meanings of parameters,as well as the functions of nonlinear reflection ability and self-learning and self-adaptive of the neural networks.Focused on the dynamic and static performances of a nonlinear time-variant system with large delay-time,the PIDNN controller was used to make full load range learning and optimizing for main steam t... |
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| Keywords: | PID neural networks main steam temperature cascade control |
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