| 基于神经网络和弹性积分的控制器设计及应用 |
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| 引用本文： | 史永宏,刘燕燕.基于神经网络和弹性积分的控制器设计及应用[J].计算机应用与软件,2010,27(1):231-233. |
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| 作者姓名： | 史永宏 刘燕燕 |
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| 作者单位： | 中国石油大学计算机与通信工程学院,山东,东营,257061 |
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| 摘 要： | 提出一种新型的智能PID控制器。将前馈神经网络BP网络作用在弹性积分控制器上,在线调整控制器的参数,采用RBF神经网络作为辨识器在线辨识控制输出对控制输入对象变化的灵敏度信息,提高系统的控制精度。该智能控制器实现了整体性能优化和个别参数优化相结合的思想。通过MATLAB仿真,该新型控制器具有超调量低、鲁棒性好等控制效果。
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| 关 键 词： | BP神经网络 RBF神经网络 弹性积分算法 PID控制器 |
DESIGN AND APPLICATION OF CONTROLLER BASED ON NEURAL NETWORK AND ELASTIC INTEGRAL ALGORITHM |
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| Shi Yonghong,Liu Yanyan.DESIGN AND APPLICATION OF CONTROLLER BASED ON NEURAL NETWORK AND ELASTIC INTEGRAL ALGORITHM[J].Computer Applications and Software,2010,27(1):231-233. |
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| Authors: | Shi Yonghong Liu Yanyan |
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| Affiliation: | College of Computer and Communication Engineering/a>;China University of Petroleum/a>;Dongying 257061/a>;Shandong/a>;China |
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| Abstract: | The paper presents a novel intelligent PID controller.It makes feedforward BP network act on the elastic-integral controller,which can adjust controller's parameters on-line.As the identification controller,RBF neural network is used to online identify the sensitivity information of the output control on the variation of input control objects,and to improve the controlling accuracy of the system.The intelligent PID controller realizes the combination of the optimization on the whole performance and the indi... |
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| Keywords: | BP neural networks RBF neural networks Elastic-integral algorithm PID controller |
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