期刊文献+

基于S7-1200PLC的加药系统模糊控制器设计 被引量:3

Design of Fuzzy Controller for Dosing System Based on S7-1200 PLC
下载PDF
导出
摘要 为了实现矿井水净化处理工艺过程中混凝剂的准确投加,提出采用前馈控制加反馈控制的方法来实现加药量的控制,其中前馈控制利用统计原理形成的表格模型,反馈控制利用专家知识库形成的模糊控制规则,详细介绍了模糊控制系统的基本原理和构成,给出了模糊控制器的具体设计过程,并利用PLC程序来完成具体的模糊控制算法,最终实现了水处理过程中药剂的准确投加。应用结果表明,该控制系统很好的提高了加药系统的可靠性和稳定性,很大程度上节约了水处理成本。 In order to achieve the mine drainage water purification process dtuing accurate dosing coagulant, fbedforward control and feedback control method to realize the dosage control are proposed. Feedforward control uses the form in which statistical principles formed the model, feedback control uses expert knowledge of fuzzy control rules form. The basic principles of fuzzy control system and the constitution are introduced in detail, the specific design of fuzzy controller is given, ultimately the treatment process accurate dosing in pharmacy is realized, and use the PLC program to perform specific fuzzy control algorithm, The results of application show that the control system is very good to improve the reliability and stability of the dosing system, largely saving water treatment costs.
作者 崔东锋
出处 《自动化技术与应用》 2015年第5期16-19,共4页 Techniques of Automation and Applications
基金 中国煤炭科工集团有限公司科技创新基金项目(编号2013QN028)
关键词 矿井水 加药系统 模糊控制 PLC mine drainage water dosing system fuzzy control PLC
  • 相关文献

参考文献4

二级参考文献27

  • 1刘瑞军,王丽.单因子流动电流混凝投药自控技术在水厂生产中的应用[J].黑龙江环境通报,2004,28(1):86-88. 被引量:2
  • 2马勇,彭永臻,王淑莹,王晓莲.Fuzzy Control of Nitrate Recirculation and External Carbon Addition in A/O Nitrogen Removal Process[J].Chinese Journal of Chemical Engineering,2005,13(2):244-249. 被引量:6
  • 3上海市政工程设计研究院.给水排水设计手册:第3册[M].北京:中国建筑工业出版社,2004.
  • 4Lardon L, Punal A, Martinez J A, et al. Modular expert system for the diagnosis of operating conditions of industrial anaerobic digestion plants [J]. Water Science and Technology,2005,52(1-2):427-433.
  • 5Hong S W, Choi Y S, Kim S J,et al.Pilot-testing an alternative on-site wastewater treatment system for small communities and its automatic control [J].Water Science and Technology,2005,51(10):101-108.
  • 6Choi D j, Park H. A hybrid artificial neural network as a software sensor for optimal control of a wastewater treatment process [J].Water Research, 2001,35( 16):3959-3967.
  • 7Ren Nanqi, Chert Zhaobo, Wang Xiangjing, et al. Optimized operational parameters of a pilot scale membrane bioreactor for high-strength organic wastewater treatment [J].International Biodeterioration and Biodegradation,2005,56(4): 216-223.
  • 8Hamed Maged M, Khalafallah Mona G, Hassanien Ezzat A. Prediction of wastewater treatment plant performance using artificial neural networks[J].Environmental Modelling and Software,2004,19(10):919-928.
  • 9Tay Joo-Hwa, Zhang Xiyue. A fast predicting neural fuzzy model for high-rate anaerobic wastewater treatment systems [J].Water Research,2000,34( 11):2849-2860.
  • 10Chert W C, Chang N B, Shieh W K. Advanced hybrid fuzzy-neural controller for industrial wastewater treatment[J]. Journal of Environmental Engineering,2001,127(11):1048-1059.

共引文献14

同被引文献19

引证文献3

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部