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 in | Chinese journal of chemical engineering Vol. 21; no. 4; pp. 395 - 400 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.04.2013
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1004-9541 2210-321X |
| DOI | 10.1016/S1004-9541(13)60479-6 |
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| Abstract | 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. |
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| AbstractList | 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. 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. |
| Author | 邹志云 于蒙 王志甄 刘兴红 郭宇晴 张风波 郭宁 |
| AuthorAffiliation | Research Institute of Pharmaceutical Chemistry, Beijing 102205, China |
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| Cites_doi | 10.1016/0005-1098(89)90002-2 10.1016/S0098-1354(98)00260-9 10.1016/j.conengprac.2011.09.003 10.1016/j.conengprac.2006.10.016 10.1016/j.compchemeng.2011.04.009 10.1016/j.cej.2010.07.065 10.1016/j.automatica.2008.05.013 10.1016/S0005-1098(01)00292-8 10.1016/j.sysconle.2007.09.009 10.1016/S0098-1354(98)00301-9 10.1016/j.jprocont.2011.08.001 10.1016/S1004-9541(08)60200-1 10.1021/ie000309r 10.1016/S1004-9541(07)60147-5 10.1016/0005-1098(78)90001-8 10.1016/j.compchemeng.2006.10.005 10.1016/S0967-0661(02)00186-7 10.1016/S0959-1524(02)00022-7 10.1016/j.dsp.2010.06.006 10.1007/978-3-0348-8407-5_21 10.1016/S0959-1524(97)80001-B 10.1016/S1004-9541(08)60325-0 10.1016/S1004-9541(08)60305-5 10.1016/j.isatra.2007.12.002 10.1016/j.jpowsour.2008.06.064 |
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| Keywords | model algorithmic control control simulation nonlinear model predictive control Hammerstein model pH neutralization process |
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| Notes | 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 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
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| Snippet | Control of pH neutralization processes is challenging in the chemical process industry because of their inherent strong nonlinearity. In this paper, the model... |
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| SubjectTerms | 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 |
| Title | Nonlinear Model Algorithmic Control of a pH Neutralization Process |
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