Takagi-Sugeno fuzzy control of batch polymerization reactors

It is a well-known fact that batch processes are gaining wider ground in chemical industries. Compared with continuous processes the control of batch processes is more difficult because of the physical and chemical properties of the contents, such as heat capacity, heat transfer coefficient and reaction rate, which vary from run to run and within runs. The control problem focuses on the temperature control of a polystyrene batch reactor using the rule based Takagi-Sugeno fuzzy controller based on the controller output error method. The proposed learning fuzzy logic controllers are shown to be capable of providing a good overall system performance.