大型袋式除尘器风量风压的LQR最优控制

刘亚南; 张琨; 张磊; 谭志洪; 刘丽冰

doi:10.12030/j.cjee.201701114

环境工程学报

大型袋式除尘器风量风压的LQR最优控制

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刘亚南, 张琨, 张磊, 谭志洪, 刘丽冰. 大型袋式除尘器风量风压的LQR最优控制[J]. 环境工程学报, 2017, 11(11): 5956-5962. doi: 10.12030/j.cjee.201701114

引用本文:

刘亚南, 张琨, 张磊, 谭志洪, 刘丽冰. 大型袋式除尘器风量风压的LQR最优控制[J]. 环境工程学报, 2017, 11(11): 5956-5962. doi: 10.12030/j.cjee.201701114

LIU Yanan, ZHANG Kun, ZHANG Lei, TAN Zhihong, LIU Libing. LQR optimal control of air volume and air pressure of large bag filter[J]. Chinese Journal of Environmental Engineering, 2017, 11(11): 5956-5962. doi: 10.12030/j.cjee.201701114

Citation:

LIU Yanan, ZHANG Kun, ZHANG Lei, TAN Zhihong, LIU Libing. LQR optimal control of air volume and air pressure of large bag filter[J]. Chinese Journal of Environmental Engineering, 2017, 11(11): 5956-5962. doi: 10.12030/j.cjee.201701114

大型袋式除尘器风量风压的LQR最优控制

1.
河北工业大学机械工程学院, 天津 300130
2.
河北工业大学控制科学与工程学院, 天津 300130
3.
南昌大学资源环境与化工学院, 南昌 330031
基金项目:
河北省自然科学基金资助项目（F2015202231）

河北省科技计划项目（13394305D，16211803D）
中图分类号: X513

LQR optimal control of air volume and air pressure of large bag filter

1.
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China
2.
School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China
3.
School of Resources Environmental and Chemical Engineering, Nanchang University, Nanchang 330031, China
Fund Project:

摘要: 风量和风压是袋式除尘器运行中2个重要的控制参量，受本体结构和流场设计影响，在宽工况条件下非稳态特性明显，并表现出很强的耦合性。针对此问题，研究一种袋式除尘器风量风压优化控制方法，建立状态空间模型，通过GA寻优对模型参数进行辨识；设计LQR控制器，计算出状态反馈矩阵。仿真结果证明了理论方法的正确性和有效性，为提升大型袋式除尘器的工作效能奠定了基础。
- 袋式除尘器 /
- 风量风压优化控制 /
- 状态空间模型 /
- LQR控制
Abstract: The air volume and air pressure are the two important control variables in the operation of the bag filter. Because of the influence of its body structure and flow field, it has obvious unsteady characteristics under wide operating conditions and exhibits strong coupling. To solve this problem, an optimal control method of the air volume and air pressure of the bag filter is studied. The state space model is established, the model parameters are identified by GA, a LQR controller is designed, and the state feedback matrix is calculated. The simulation results prove that the correctness and validity of the theoretical method, which lays a foundation for improving the working efficiency of large bag filter.
- bag filter /
- air volume /
- air pressure /
- state space model

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大型袋式除尘器风量风压的LQR最优控制

1. 河北工业大学机械工程学院, 天津 300130
2. 河北工业大学控制科学与工程学院, 天津 300130
3. 南昌大学资源环境与化工学院, 南昌 330031

收稿日期: 2017-05-02

基金项目:

河北省自然科学基金资助项目（F2015202231）

河北省科技计划项目（13394305D，16211803D）

关键词:

摘要: 风量和风压是袋式除尘器运行中2个重要的控制参量，受本体结构和流场设计影响，在宽工况条件下非稳态特性明显，并表现出很强的耦合性。针对此问题，研究一种袋式除尘器风量风压优化控制方法，建立状态空间模型，通过GA寻优对模型参数进行辨识；设计LQR控制器，计算出状态反馈矩阵。仿真结果证明了理论方法的正确性和有效性，为提升大型袋式除尘器的工作效能奠定了基础。

English Abstract

LQR optimal control of air volume and air pressure of large bag filter

1. School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China
2. School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China
3. School of Resources Environmental and Chemical Engineering, Nanchang University, Nanchang 330031, China

Received Date: 2017-05-02

Fund Project:

Keywords:

Abstract: The air volume and air pressure are the two important control variables in the operation of the bag filter. Because of the influence of its body structure and flow field, it has obvious unsteady characteristics under wide operating conditions and exhibits strong coupling. To solve this problem, an optimal control method of the air volume and air pressure of the bag filter is studied. The state space model is established, the model parameters are identified by GA, a LQR controller is designed, and the state feedback matrix is calculated. The simulation results prove that the correctness and validity of the theoretical method, which lays a foundation for improving the working efficiency of large bag filter.

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大型袋式除尘器风量风压的LQR最优控制

LQR optimal control of air volume and air pressure of large bag filter

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大型袋式除尘器风量风压的LQR最优控制

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LQR optimal control of air volume and air pressure of large bag filter

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