Volume 15 Number 4
August 2018
Article Contents
Shu-Zhi Gao, Xiao-Feng Wu, Liang-Liang Luan, Jie-Sheng Wang and Gui-Cheng Wang. PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process. International Journal of Automation and Computing, vol. 15, no. 4, pp. 482-491, 2018. doi: 10.1007/s11633-016-0973-7
Cite as: Shu-Zhi Gao, Xiao-Feng Wu, Liang-Liang Luan, Jie-Sheng Wang and Gui-Cheng Wang. PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process. International Journal of Automation and Computing, vol. 15, no. 4, pp. 482-491, 2018.

# PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process

Author Biography:
• Xiao-Feng Wu   received the B.Sc.degree in control science and engineering from Shenyang University of Chemical Technology, China in 2014.And now he is a Master student in control science and engineering at Shenyang University of Chemical Technology, China.He has published a journal when he is a graduate student.
His research interests include automatic control system and feedback control system.
E-mail:1351580918@qq.com

Liang-Liang Luan   received the B.Sc. degree in control science and engineering from Liaoning Shihua University, China in 2012.He was admitted as a graduate of Shenyang University of Chemical Technology from 2012.
His research interests include modeling of complex industry process and intelligent control.
E-mail:503488576@qq.com

Jie-Sheng Wang   received the B.Sc.degree from Liaoning University of Science and Technology, China in 1999, and the M.Sc.degree from Dalian University of Technology, China in 2006.He is currently a professor and Ph.D.supervisor in Liaoning University of Science and Technology, China.He has published about 40 refereed journal and conference papers.
His research interests include modeling of complex industry process, intelligent control and computer integrated manufacturing.
E-mail:108324637@1qq.com

Gui-Cheng Wang   received the B.Sc. degree in 1993 and M.Sc.degrees in 1996 from Shenyang University of Chemical Technology, and the Ph.D.degree from Northeastern University, China in 2006.In 2010, his postdoctoral work is completed. Currently he is working as an associate professor and master supervisor in Shenyang University of Chemical Technology, China.
His research interests include computer control, computer simulation, intelligence control and intelligence information processing.
E-mail:wguic@sohu.com

• Corresponding author: Shu-Zhi Gao   received the B.Sc.degree from Shenyang University of Chemical Technology, China in 1989, and received the M.Sc.degrees from Northeastern University, China in 2012.In 1989, she was a faculty member at Shenyang University of Chemical Technology.She is currently a professor and Ph.D.supervisor in Shenyang University of Chemical Technology.She has published about 30 refereed journal and conference papers.
Her research interests include feedback control system, modeling of complex industry process and intelligent control.
E-mail:szg6868@126.com (Corresponding author)
• Accepted: 2014-09-25
• Published Online: 2017-05-04
• 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.
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• 1.

沈阳化工大学材料科学与工程学院 沈阳 110142

Figures (6)  / Tables (3)

## PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process

• ###### Corresponding author:Shu-Zhi Gao   received the B.Sc.degree from Shenyang University of Chemical Technology, China in 1989, and received the M.Sc.degrees from Northeastern University, China in 2012.In 1989, she was a faculty member at Shenyang University of Chemical Technology.She is currently a professor and Ph.D.supervisor in Shenyang University of Chemical Technology.She has published about 30 refereed journal and conference papers.  Her research interests include feedback control system, modeling of complex industry process and intelligent control.   E-mail:szg6868@126.com (Corresponding author)

Abstract: 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.

Shu-Zhi Gao, Xiao-Feng Wu, Liang-Liang Luan, Jie-Sheng Wang and Gui-Cheng Wang. PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process. International Journal of Automation and Computing, vol. 15, no. 4, pp. 482-491, 2018. doi: 10.1007/s11633-016-0973-7
 Citation: Shu-Zhi Gao, Xiao-Feng Wu, Liang-Liang Luan, Jie-Sheng Wang and Gui-Cheng Wang. PSO Optimal Control of Model-free Adaptive Control for PVC Polymerization Process. International Journal of Automation and Computing, vol. 15, no. 4, pp. 482-491, 2018.
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