Wastewater neutralization control based in fuzzy logic: Simulation results

被引:15
|
作者
Garrido, R [1 ]
Adroer, M [1 ]
Poch, M [1 ]
机构
[1] UNIV GIRONA,DEPT ENGN QUIM AGR & TECNOL AGROALIMENTARIA,GIRONA 17071,SPAIN
关键词
D O I
10.1021/ie950654u
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Neutralization is a technique widely used as a part of wastewater treatment processes. Due to the importance of this technique, extensive study has been devoted to its control. However, industrial wastewater neutralization control is a procedure with a lot of problems-nonlinearity of the titration curve, variable buffering, changes in loading-and despite the efforts devoted to this subject, the problem has not been totally solved. In this paper, the authors present the development of a controller based in fuzzy logic (FLC). In order to study its efectiveness, it has been compared, by simulation, with other advanced controllers (using identification techniques and adaptive control algorithms using reference models) when faced with various types of wastewater with different buffer capacity or when changes in the concentration of the acid present in the wastewater take place. Results obtained show that FLC could be considered as a powerful alternative for wastewater neutralization processes.
引用
收藏
页码:1665 / 1674
页数:10
相关论文
共 50 条
  • [1] Wastewater neutralization control based on fuzzy logic: Experimental results
    Adroer, M
    Alsina, A
    Aumatell, J
    Poch, M
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1999, 38 (07) : 2709 - 2719
  • [2] Fuzzy logic control of a pH neutralization process
    Muthu, R
    El Kanzi, E
    [J]. ICECS 2003: PROCEEDINGS OF THE 2003 10TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-3, 2003, : 1066 - 1069
  • [3] Genetic optimization based adaptive fuzzy logic control of a pH neutralization process
    [J]. 1600, Science and Engineering Research Support Society (07):
  • [4] Differential Evolution based Optimal Fuzzy Logic Control of pH Neutralization Process
    Singh, Parikshit Kishor
    Bhanot, Surekha
    Mohanta, Hare Krishna
    [J]. 2014 INTERNATIONAL CONFERENCE FOR CONVERGENCE OF TECHNOLOGY (I2CT), 2014,
  • [5] IN-LINE CONTROL OF NONLINEAR PH NEUTRALIZATION BASED ON FUZZY-LOGIC
    PAREKH, M
    DESAI, M
    LI, H
    RHINEHART, RR
    [J]. IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY PART A, 1994, 17 (02): : 192 - 201
  • [6] Fuzzy Logic Based Dissolved Oxygen Control for SBR Wastewater Treatment Process
    Fan, Liping
    Boshnakov, Kosta
    [J]. 2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 4142 - 4146
  • [7] A Fuzzy Logic Based Automatic Control of Rotary Crane (A Simulation Approach)
    Sharma, Rajbir
    Rana, Dinesh Singh
    Gaur, A. M.
    [J]. MEMS, NANO AND SMART SYSTEMS, PTS 1-6, 2012, 403-408 : 4659 - +
  • [8] Simulation of fuzzy-logic-based intelligent wheelchair control system
    Spacapan, I
    Kocijan, J
    Bajd, T
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2004, 39 (02) : 227 - 241
  • [9] Study on Optimal Control and Simulation for Urban Traffic Based on Fuzzy Logic
    Li, Junce
    Zhang, Huazhong
    [J]. INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 1, PROCEEDINGS, 2008, : 936 - 940
  • [10] A Cerebellar Model and Simulation of Arm Motion Control Based on Fuzzy Logic
    Zhang Shao-bai
    Zhu Ming-qian
    [J]. PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 2579 - 2584