Perturbation-based pH control systems for buffer and equivalence points

被引:0
作者
Lim, Sanghun [1 ]
Heo, Jea Pil [1 ]
Ahn, Gwangnoh [1 ]
Ryu, Kyung Hwan [2 ]
Sung, Su Whan [1 ]
Lee, Jietae [1 ]
机构
[1] Kyungpook Natl Univ, Dept Chem Engn, 80 Daehak Ro, Daegu 41566, South Korea
[2] Sunchon Natl Univ, Dept Chem Engn, 225 Jungang Ro, Sunchon 57922, South Korea
关键词
pH control; Buffer point; Equivalence point; Extremum seeking control; Continuous perturbation; EXTREMUM-SEEKING CONTROL; BIOHYDROGEN PRODUCTION; FEEDBACK; IDENTIFICATION; STABILITY; WATER; DARK;
D O I
10.1016/j.compchemeng.2022.108065
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The dynamics of the pH process is well-described by the Wiener model, in which a nonlinear static function follows a linear dynamic subsystem. Gain scheduling applied to the process output, or equivalently to the controller gain, has to be used to keep the pH process at a given set point under the severe static nonlinearity of the titration curve. The present study investigates two control problems of keeping the pH process on the buffer and equivalence points. The proposed method uses extremum seeking control techniques to find the first and second derivatives with continuous process input perturbations. It finds and maintains process operating points where the second derivatives of pH with respect to the process input changes are zero, the local points of minimum and maximum slopes. The performances of the proposed method are verified with simulation and experiment.
引用
收藏
页数:9
相关论文
共 50 条
[21]   A Perturbation-based Gait Training with Multidirectional Waist-Pulls Generalizes to Split-Belt Treadmill Slips [J].
Martelli, Dario ;
Kang, Jiyeon ;
Agrawal, Sunil K. .
2018 7TH IEEE INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB2018), 2018, :7-12
[22]   SINGULAR PERTURBATION ON STABILITY FOR A CLASS OF NONLINEAR CONTROL SYSTEMS [J].
陈松林 .
AnnalsofDifferentialEquations, 1997, (03) :223-227
[23]   Robust Stabilization for Networked Control Systems With Nonlinear Perturbation [J].
Gao Jinfeng ;
Zhao Xinlong ;
Bai Jianjun ;
Su Hongye .
2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, :649-653
[24]   Adaptive control of a class of multilinearly parameterized systems by using noncertainty equivalence control [J].
Netto, Mariana ;
Annaswamy, Anuradha M. .
2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, :4829-4834
[25]   Learning-based iterative modular adaptive control for nonlinear systems [J].
Benosman, Mouhacine ;
Farahmand, Amir-Massoud ;
Xia, Meng .
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2019, 33 (02) :335-355
[26]   An LMI Approach to Guaranteed Cost Control of Networked Control Systems with Nonlinear Perturbation [J].
Xie, Nan ;
Xia, Bin .
MATERIALS ENGINEERING FOR ADVANCED TECHNOLOGIES, PTS 1 AND 2, 2011, 480-481 :1352-1357
[27]   Boundary control synthesis for hyperbolic systems: a singular perturbation approach [J].
Tang, Ying ;
Prieur, Christophe ;
Girard, Antoine .
2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, :2840-2845
[28]   QUANTIZED FEEDBACK STABILIZATION FOR NETWORKED CONTROL SYSTEMS WITH NONLINEAR PERTURBATION [J].
Zhou, Lei ;
Lu, Guoping .
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2010, 6 (06) :2485-2495
[29]   Sliding mode control of switched hybrid systems with stochastic perturbation [J].
Wu, Ligang ;
Ho, Daniel W. C. ;
Li, C. W. .
SYSTEMS & CONTROL LETTERS, 2011, 60 (08) :531-539
[30]   Perturbation-based prediction of vibration phase shift along fluid-conveying pipes due to Coriolis forces, nonuniformity, and nonlinearity [J].
Thomsen, Jon Juel ;
Fuglede, Niels .
NONLINEAR DYNAMICS, 2020, 99 (01) :173-199