Abstract—In this paper a Sugeno-Type FLC for temperature control in a batch polymerization reactor is developed and tested through a simulation study. A novel ANFIS-based method is implemented to design a practicable advanced controller. Temperature of a pilot-scale jacketed batch reactor is controlled by manipulating the reactor cooling water temperature. Manifest feature of the proposed method is smoothing of undesired control signal of conventional PI controller. The simulation study shows that the proposed controller has good set point tracking and disturbance rejection properties. Also it is robust against changes in the system parameters. It is also superior to the conventional PI controller and even previously proposed advanced controllers.
Index Terms—ANFIS, Batch Polymerization Reactor, Fuzzy Logic Controller (FLC), Practicability Constraints.
Mohammad Alipoor is with the Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran. (Corresponding author to provide phone: +985714198; fax: +984112861679; E-mail: m_biomedical81@ yahoo.com).
Mahdi Zeinali is with Electrical Engineering Department, Sahand University of Technology, Tabriz, Iran. (E-mail: Zeinali@sut.ac.ir).
Hadi Sadoghi Yazdi was with the Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran. He is now with the Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran. (E-mail: email@example.com)
Cite: M. Alipoor, M. Zeinali and H. Sadoghi Yazdi, "Fuzzy Temperature Control in a Batch Polymerization Reactor Using ANFIS Method," International Journal of Engineering and Technology vol. 1, no. 1, pp. 7-12, 2009.