基于遺傳BP網絡的PID控制算法在無模拉拔溫度控制中的應用

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基于遺傳BP網絡的PID控制算法在無模拉拔溫度控制中的應用

班曉娟, 張武軍, 付璟璐, 孫大明

文章導航 > 工程科學學報 > 2008 > 30(12): 1439-1442

班曉娟, 張武軍, 付璟璐, 孫大明. 基于遺傳BP網絡的PID控制算法在無模拉拔溫度控制中的應用[J]. 工程科學學報, 2008, 30(12): 1439-1442. doi: 10.13374/j.issn1001-053x.2008.12.013

引用本文:

班曉娟, 張武軍, 付璟璐, 孫大明. 基于遺傳BP網絡的PID控制算法在無模拉拔溫度控制中的應用[J]. 工程科學學報, 2008, 30(12): 1439-1442. doi: 10.13374/j.issn1001-053x.2008.12.013

BAN Xiaojuan, ZHANG Wujun, FU Jinglu, SUN Daming. Application of PID control algorithm based on genetic algorithm and BP neural network to temperature control during dieless drawing[J]. Chinese Journal of Engineering, 2008, 30(12): 1439-1442. doi: 10.13374/j.issn1001-053x.2008.12.013

Citation:

BAN Xiaojuan, ZHANG Wujun, FU Jinglu, SUN Daming. Application of PID control algorithm based on genetic algorithm and BP neural network to temperature control during dieless drawing[J]. Chinese Journal of Engineering, 2008, 30(12): 1439-1442. doi: 10.13374/j.issn1001-053x.2008.12.013

班曉娟, 張武軍, 付璟璐, 孫大明. 基于遺傳BP網絡的PID控制算法在無模拉拔溫度控制中的應用[J]. 工程科學學報, 2008, 30(12): 1439-1442. doi: 10.13374/j.issn1001-053x.2008.12.013

引用本文:

班曉娟, 張武軍, 付璟璐, 孫大明. 基于遺傳BP網絡的PID控制算法在無模拉拔溫度控制中的應用[J]. 工程科學學報, 2008, 30(12): 1439-1442. doi: 10.13374/j.issn1001-053x.2008.12.013

BAN Xiaojuan, ZHANG Wujun, FU Jinglu, SUN Daming. Application of PID control algorithm based on genetic algorithm and BP neural network to temperature control during dieless drawing[J]. Chinese Journal of Engineering, 2008, 30(12): 1439-1442. doi: 10.13374/j.issn1001-053x.2008.12.013

Citation:

BAN Xiaojuan, ZHANG Wujun, FU Jinglu, SUN Daming. Application of PID control algorithm based on genetic algorithm and BP neural network to temperature control during dieless drawing[J]. Chinese Journal of Engineering, 2008, 30(12): 1439-1442. doi: 10.13374/j.issn1001-053x.2008.12.013

基于遺傳BP網絡的PID控制算法在無模拉拔溫度控制中的應用

doi: 10.13374/j.issn1001-053x.2008.12.013

1. 北京科技大學信息工程學院, 北京 100083;
2. 北京科技大學規劃與學科建設辦公室, 北京 100083

基金項目:

國家自然科學基金資助項目(No.50474072

No.50634010)

作者簡介:
班曉娟(1970-),女,副教授,博士,E-mail:banxj@ies.ustb.edu.cn

中圖分類號: TG356;TP183
計量
- 文章訪問數: 144
- HTML全文瀏覽量: 25
- PDF下載量: 7
- 被引次數: 0
出版歷程
- 收稿日期: 2008-01-10
- 修回日期: 2008-02-23
- 網絡出版日期: 2021-08-06

Application of PID control algorithm based on genetic algorithm and BP neural network to temperature control during dieless drawing

1. School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China;
2. Office of Planning and Disciplines, University of Science and Technology Beijing, Beijing 100083, China

摘要: 將遺傳算法與BP神經網絡結合,提出了一種利用遺傳算法優化BP神經網絡權值的智能PID控制算法,改善了系統的動態性能.通過實驗采集數據,擬合出無模拉拔感應加熱溫度控制系統的數學模型.采用本文提出的方法進行了仿真實驗,結果表明該算法具有較強的快速性和魯棒性.
- 無模拉拔 /
- 溫度控制 /
- PID控制算法 /
- 遺傳算法 /
- BP神經網絡
Abstract: In combination of genetic algorithm with BP network, a new intelligent PID control algorithm was designed using genetic algorithm to optimize the parameters of BP neural network, which improve the dynamic performance of a temperature control system. The temperature control system model of a dieless drawing system was fitted with collected experimental data. Simulation results show that the proposed model has a better rapidity and robustness.
- dieless drawing /
- temperature control /
- PID control algorithm /
- genetic algorithm(GA) /
- BP neural network

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文章訪問數: 144
HTML全文瀏覽量: 25
PDF下載量: 7
被引次數: 0

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