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.