| 锅炉温度系统的神经网络预测-PID串联控制 |
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| 引用本文： | 张燕,王桂玲,杨立平,杨鹏.锅炉温度系统的神经网络预测-PID串联控制[J].控制工程,2011,18(2):175-177. |
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| 作者姓名： | 张燕 王桂玲 杨立平 杨鹏 |
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| 作者单位： | 1. 河北工业大学,电气与自动化学院,天津,300130
2. 河北工业大学,人事处,天津,300130 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 针对锅炉温度系统的非线性、滞后、时变等特性,提出了一种串联控制策略.提出基于神经网络的微分型预测控制算法,该方法的突出优点是能够加快调节时间.在此基础上结合常规PID控制器构成了预测-PID串联控制,这种串联控制的方法既有基于神经网络的预测控制在实时系统中抗干扰能力强的优点,又充分利用了PID控制方法响应速度快的特点....
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| 关 键 词： | RBF神经网络 预测控制 锅炉温度 串联PID |
Series Neural Network Predictive PID Control of Boiler Temprature System |
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| ZHANG Yan,WANG Gui-ling,YANG Li-ping,YANG Peng.Series Neural Network Predictive PID Control of Boiler Temprature System[J].Control Engineering of China,2011,18(2):175-177. |
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| Authors: | ZHANG Yan WANG Gui-ling YANG Li-ping YANG Peng |
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| Affiliation: | ZHANG Yan,WANG Gui-ling,YANG Li-ping2,YANG Peng (1. School of Electrical Engineering and Automation,Hebei University of Technology,Tianjin 300130,China,2. Department of Personnel,China) |
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| Abstract: | Aiming at the characteristics such as nonlinearing, time-delay and time -varying, of the boiler temperature system, a se- ries control strategy is proposed. A differential predictive control algorithm based on neural network is presented, to accelerate the ad- justment time. Based on that the conventional PID controller is combined to form a series prediction - PID control. The method com- bines the advantages of strong anti - jamming ability of neural network predictive control in real - time system and fa... |
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| Keywords: | RBF neural network predictive control boiler temprature series PID |
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