Fuzzy Dynamic Sliding Mode Control for Permanent Magnet Synchronous Generator Model

This paper investigates the fuzzy control problem for nonlinear permanent magnet synchronous motor (PMSM) model via dynamic sliding-mode method. The nonlinear PMSM model has equivalently expressed into linear sub models via the Takagi-Sugeno fuzzy approach based on suitable membership rules. The key advantage of the developed approach is that a very restrictive assumptions in most existing sliding mode control approaches for fuzzy systems have been removed. This paper employs the dynamic sliding mode scheme to control nonlinear PMSM. In the established sliding-mode control scheme, the sliding surface function is formed linearly with the system states and control inputs. Then, a fuzzy dynamic term is utilized to construct the sliding-mode feedback controller. Thus, sufficient conditions are proposed to make the sliding surface reachable with the existence of the system perturbations to make the augmented system stable. Finally, the applicability of designed dynamic sliding methodology is demonstrated by a controller design for the nonlinear PMSM model.