Designing Model Reference Fuzzy Controller Based on State Feedback Integral Control for Nonlinear Systems

This study intends to investigate a new control structure using a model reference fuzzy controller based on state feedback integral control. Motivated by the fact that most of the controlled systems are nonlinear and subject to uncertainty. Hence, designing control structures which can satisfy these cases is essential. The state feedback control is one of the control methods however this method does not show an appropriate performance when the non-zero disturbance is applied to the system. To cope with the mentioned drawback, using an integral control with state feedback would be an effective way. The classic state feedback integral control is considered as a beneficial way to control of linear or weakly nonlinear systems. For this reason, this paper concerns state feedback integral control using a model reference fuzzy controller. At the first stage of designed control approach, the nonlinear system is modeled by T-S fuzzy. At the second stage, control method is discussed. The proposed controller is applicable to a broad class of nonlinear systems subject to non-zero disturbance. The simulation results applied to control of inverted pendulum, magnetic levitation and Chua's circuit systems, verify the high control accuracy and appropriate performance of the proposed controller.