Nonlinear Model Algorithmic Control of a pH Neutralization Process

Control of pH neutralization processes is challenging in the chemical process industry because of their inherent strong nonlinearity. In this paper, the model algorithmic control （MAC） strategy is extended to nonlinear processes using Hammerstein model that consists of a static nonlinear polynomial...

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Published inChinese journal of chemical engineering Vol. 21; no. 4; pp. 395 - 400
Main Author 邹志云 于蒙 王志甄 刘兴红 郭宇晴 张风波 郭宁
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.04.2013
Subjects
Algorithms
Chemical engineering
Computer simulation
control simulation
Derivatives
Hammerstein model
Hammerstein模型
MAC算法
model algorithmic control
nonlinear model predictive control
Nonlinearity
pH neutralization process
pH中和过程
pH值
Robustness
Strategy
强非线性
模型算法控制
线性多项式
非线性过程
model algorithmic control
control simulation
nonlinear model predictive control
Hammerstein model
pH neutralization process
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ISSN1004-9541
2210-321X
DOI10.1016/S1004-9541(13)60479-6

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Summary:Control of pH neutralization processes is challenging in the chemical process industry because of their inherent strong nonlinearity. In this paper, the model algorithmic control （MAC） strategy is extended to nonlinear processes using Hammerstein model that consists of a static nonlinear polynomial function followed in series by a linear impulse response dynamic element. A new nonlinear Hammerstein MAC algorithm （named NLH-MAC） is presented in detail. The simulation control results of a pH neutralization process show that NLH-MAC gives better control performance than linear MAC and the commonly used industrial nonlinear propotional plus integral plus derivative （PID） controller. Further simulation experiment demonstrates that NLH-MAC not only gives good control response, but also possesses good stability and robustness even with large modeling errors.
Bibliography:Control of pH neutralization processes is challenging in the chemical process industry because of their inherent strong nonlinearity. In this paper, the model algorithmic control （MAC） strategy is extended to nonlinear processes using Hammerstein model that consists of a static nonlinear polynomial function followed in series by a linear impulse response dynamic element. A new nonlinear Hammerstein MAC algorithm （named NLH-MAC） is presented in detail. The simulation control results of a pH neutralization process show that NLH-MAC gives better control performance than linear MAC and the commonly used industrial nonlinear propotional plus integral plus derivative （PID） controller. Further simulation experiment demonstrates that NLH-MAC not only gives good control response, but also possesses good stability and robustness even with large modeling errors.
ZOU Zhiyun , YU Meng, WANG Zhizhen , LIU Xinghong , GUO Yuqing , ZHANG Fengbo , GUO Ning （ Research Institute of Pharmaceutical Chemistry, Beijing 102205, China）
11-3270/TQ
model algorithmic control, nonlinear model predictive control, Hammerstein model, pH neutralization process, control simulation
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ISSN:1004-9541
2210-321X
DOI:10.1016/S1004-9541(13)60479-6