PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process
Shu-Zhi Gao2; Xiao-Feng Wu2; Liang-Liang Luan2; Jie-Sheng Wang1; Gui-Cheng Wang2
刊名International Journal of Automation and Computing
2018
卷号15期号:4页码:482-491
关键词Polyvinyl chloride (PVC) polymerization temperature model-free adaptive control particle swarm optimization (PSO) algorithm.
ISSN号1476-8186
DOI10.1007/s11633-016-0973-7
英文摘要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.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/42426]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.University of Science and Technology Liaoning, National Financial Security and System Equipment Engineering Research Center, Anshan 114044, China
2.School of Electronic and Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China
推荐引用方式
GB/T 7714
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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