PSO optimal control of model-free adaptive control for PVC polymerization process
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, p...
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| Published in | International journal of automation and computing Vol. 15; no. 4; pp. 482 - 491 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Beijing
Institute of Automation, Chinese Academy of Sciences
01.08.2018
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1476-8186 2153-182X 1751-8520 2153-1838 |
| DOI | 10.1007/s11633-016-0973-7 |
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| 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. |
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| AbstractList | 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. |
| Author | Wang, Jie-Sheng Luan, Liang-Liang Wang, Gui-Cheng Gao, Shu-Zhi Wu, Xiao-Feng |
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| Cites_doi | 10.1109/TCST.2003.810385 10.4028/www.scientific.net/AMR.69-70.660 10.1016/S0014-3057(00)00053-7 10.1109/TEVC.2004.826069 10.1016/j.jprocont.2013.02.008 10.1109/CESA.2006.4281684 10.1016/j.actaastro.2011.09.007 10.1007/s11633-015-0922-x 10.1109/CCDC.2011.5968507 10.1016/j.amc.2011.10.012 10.1007/978-3-642-21765-4 |
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| Keywords | model-free adaptive control polymerization temperature particle swarm optimization (PSO) algorithm Polyvinyl chloride (PVC) |
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| SubjectTerms | Adaptive control Algorithms Automation CAE) and Design Computer Applications Computer simulation Computer-Aided Engineering (CAD Control Control algorithms Controllers Cooling Decomposition Design Discrete time systems Engineering Fault diagnosis Free radicals Mechatronics Nonlinearity Optimal control Optimization Particle swarm optimization Performance indices Polymerization Polyvinyl chloride Research Article Robotics Simulation Time lag |
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