Adaptive fuzzy output feedback control of an unstable reactor

In this paper, design of non-adaptive and adaptive nonlinear controller for a class of continuous stirred tank reactor (CSTR) is considered. First the well-known global input-output linearization controller (GLC) is used to control the reactor temperature. Since for implementation of GLC concentration is needed, a nonlinear observer is used to estimate concentration. Second an adaptive fuzzy output feedback controller is proposed and applied to the reactor. The linguistic rules of this adaptive version are constructed based on temperature measurements. The simulation results imply that both controllers are capable of controlling the reactor temperature. Moreover the performance of the adaptive fuzzy controller for load rejection and bearing the model mismatch is superior