PSO optimal control of model-free adaptive control for PVC polymerization process

• Published in: International journal of automation and computing Vol. 15; no. 4; pp. 482 - 491
• Main Authors: Gao, Shu-Zhi, Wu, Xiao-Feng, Luan, Liang-Liang, Wang, Jie-Sheng, Wang, Gui-Cheng
• Format: Journal Article
• Language: English
• Published: Beijing Institute of Automation, Chinese Academy of Sciences 01.08.2018; Springer Nature B.V
• Subjects: 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; model-free adaptive control; polymerization temperature; particle swarm optimization (PSO) algorithm; Polyvinyl chloride (PVC)
• ISSN: 1476-8186; 2153-182X; 1751-8520; 2153-1838
• DOI: 10.1007/s11633-016-0973-7

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.