Ali Reza Zahedi - Polymer Engineering Department, Amirkabir University of Technology, PO Box 15875-4413, Tehran, Iran.
Mehdi Rafizadeh - Polymer Engineering Department, Amirkabir University of Technology, PO Box 15875-4413, Tehran, Iran.
Faramarz Afshar Taromi - Polymer Engineering Department, Amirkabir University of Technology, PO Box 15875-4413, Tehran, Iran.

Process conditions during polymerization are always wellcontrolled to achieve the desired final properties. Most of the process parameters that are measurable and estimable during aprocess, must be controlled [1, 2]. Control on a batch polymerization reactor typically involves pre-mixingconditions of the primary reactants and the processtermination. Temperature control is one of the most common control strategies for polymerization, because the reactiontemperature of polymerization effect significantly on the properties of the final product. Fuzzy controllers can beclassified two families of controllers based on fuzzy model and fuzzy rules. In recent decades, many applications of fuzzy theory in chemical and polymer process control have beenreported [3]. An adaptive Takagi-Sugeno fuzzy modeling for process control was designed by Lima et al [4] control thepolymerization process. They have shown that this controller has better performance than conventional PID controllers. In this study, classical and Fuzzy logic in control of polycondensation reactors based on aromatic polyesters is conducted