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信息化应用23年1期

自适应模糊 PID 对溶解氧的智能控制
张陈,李明河,沈鹏
(安徽工业大学 电气与信息工程学院,安徽 马鞍山 243002)

摘  要:针对污水处理的非线性、滞后性和不确定性,提出将智能控制中的模糊控制和传统的 PID 控制相结合,使得控制器同时具有模糊控制的强鲁棒性和普通 PID 的优稳定性。通过 MATLAB 模拟表明,相较于传统 PID 控制器而言,模糊 PID 溶解氧控制系统在污水处理过程中具有响应速度快、震荡较小、稳定性好等优点。


关键词:污水处理;模糊控制;溶解氧;模糊 PID



DOI:10.19850/j.cnki.2096-4706.2023.01.029


中图分类号:TP39;X70                                     文献标识码:A                                文章编号:2096-4706(2023)01-0107-04


Intelligent Control of Adaptive Fuzzy PID on Dissolved Oxygen

ZHANG Chen, LI Minghe, SHEN Peng

(School of Electrical and Information Engineering, Anhui University of Technology, Maanshan 243002, China)

Abstract: Aiming at the fact that sewage treatment is nonlinear, large lag and uncertainty, it is proposed to combine fuzzy control in intelligent control with traditional PID control, so that the controller has both strong robustness of fuzzy control and excellent stability of ordinary PID. MATLAB simulation shows that compared with the traditional PID controller, during the sewage treatment process, the fuzzy PID dissolved oxygen control system has the advantages of fast response, small shock and good stability.

Keywords: sewage treatment; fuzzy control; dissolved oxygen; fuzzy PID 


参考文献:

[1] ANSARI A A,GILL S S. Eutrophication:Causes, consequences and control [M].The Netherlands:Springer,2011.

[2] 乔俊飞,卢超,王磊,等 . 城市污水处理过程模型研究综述 [J]. 信息与控制,2018,47(2):129-139.

[3] 贺瑞军.城市污水处理的现状及展望 [J]. 科技情报开发与经济,2006,16(24):181-182.

[4] 刘韬 . 污水处理智能控制的发展现状研究 [J]. 中国高新技术企业,2009(17):121-122.

[5] WAHAB N A,KATEBI R,BALFERUD J. Multivariable PID control design for activated sludge process with nitrification and denitrification [J].Biochemical Engineering Journal,2009,45(3):239-248.

[6] BAGHERI M,MIRBAGHERI S A,EHTESHAMI M,et al. Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks [J].Process Safety and Environmental Protection,2015,93:111-123.

[7] HUANG M,MA Y,WAN J,et al. Modeling a paper-making wastewater treatment process by means of an adaptive network-based fuzzy inference system and principal component analysis [J].Industrial & engineering chemistry research,2012,51(17):6166-6174.

[8] 王欣,宋翼颉,秦斌,等 . 基于 LSSVM 的污水处理过程建模 [J]. 湖南工业大学学报,2016,30(1):59-63.

[9] 庞中华 . 系统辨识与自适应控制 MATLAB 仿真:修订版[M]. 北京:北京航空航天大学出版社,2009.

[10] 付娟 . 污水处理过程中溶解氧浓度控制策略研究 [D]. 兰州:兰州理工大学,2017.


作者简介:张陈(1997—),男,汉族,安徽宿州人,硕士研究生在读,研究方向:智能控制。