Adaptive fuzzy sliding-mode control into chattering-free induction motor drive

Abstract

This paper presents an adaptive fuzzy sliding-mode controller (AFSMC) based on boundary layer approach for speed controller of an indirect filed-oriented control (IFOC) of induction motor (IM) drive. In general, the boundary layer approach leads to trade-off between control performances and chattering elimination. To improve control performances, a fuzzy system is assigned as reaching control part of the fuzzy sliding-mode so that it eliminates the chattering completely despite uncertainties in the system. The applied fuzzy controller acts like saturation function with a nonlinear slope inside thin boundary layer near sliding surface to guarantee the stability of the system. Moreover, an adaptive law is implemented to estimate the unknown bound of uncertainty which is obtained in the sense of Lyapunov stability theorem to minimize the control effort. The proposed AFSMC based IM drive is implemented in real-time using DSP board TI TMS320F28335. The experimental and simulation results show the effectiveness of the proposed AFSMC based IM drive at different operating conditions.