Fuzzy gain scheduled set-point weighted PID controller for unstable CSTR systems

Abstract

Control of CSTR process has been challenging due to highly nonlinear and dynamic behavior. Furthermore, the CSTR processes are unstable. The use of PID controllers for such processes has been attempted. However, poor performance is obtained due to limitations of the PID controllers. On the other hand, using heuristic algorithms to tune the controllers only gives optimal performance for a restricted range of parameter variations. This paper proposes the use of fuzzy gain scheduling (FGS) adaptation mechanism to tune set-point weighted PID controller for the CSTR process. The result of comparison from the simulation performed showed that proposed method achieved better set-point tracking and disturbance rejection compared to the FGS-PID controller.