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PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process
Shu-Zhi Gao1; Xiao-Feng Wu1; Liang-Liang Luan1; Jie-Sheng Wang2; Gui-Cheng Wang1
发表期刊International Journal of Automation and Computing
ISSN1476-8186
2018
卷号15期号:4页码:482-491
摘要Polyvinyl chloride (PVC) polymerizing process is a typical complicated industrial process with the characteristics of large inertia, big time delay and nonlinearity. Firstly, for the general nonlinear and discrete time system, a design scheme of model-free adaptive (MFA) controller is given. Then, particle swarm optimization (PSO) algorithm is applied to optimizing and setting the key parameters for controller tuning. After that, the MFA controller is used to control the system of polymerizing temperature. Finally, simulation results are given to show that the MAC strategy based on PSO obtains a good controlling performance index.
关键词Polyvinyl chloride (PVC) polymerization temperature model-free adaptive control particle swarm optimization (PSO) algorithm.
DOI10.1007/s11633-016-0973-7
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/42426
专题学术期刊_Machine Intelligence Research
作者单位1.School of Electronic and Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China
2.University of Science and Technology Liaoning, National Financial Security and System Equipment Engineering Research Center, Anshan 114044, China
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Shu-Zhi Gao,Xiao-Feng Wu,Liang-Liang Luan,et al. PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process[J]. International Journal of Automation and Computing,2018,15(4):482-491.
APA Shu-Zhi Gao,Xiao-Feng Wu,Liang-Liang Luan,Jie-Sheng Wang,&Gui-Cheng Wang.(2018).PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process.International Journal of Automation and Computing,15(4),482-491.
MLA Shu-Zhi Gao,et al."PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process".International Journal of Automation and Computing 15.4(2018):482-491.
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