Adaptive intelligent backstepping controller of induction machines

This paper presents an adaptive fuzzy backstepping controller (AFB) to handle the speed tracking problem of induction machines with unknown model, uncertain load-torque and nonlinear friction. The proposed AFB scheme uses adaptive fuzzy systems to reasonably approximate the uncertain dynamics appearing in the induction machine model. The backstepping concept is employed to systematically construct the control law deduced from the stability analysis in the sense of Lyapunov. It is shown that all the closed-loop signals are bounded and the tracking errors exponentially converge to a small neighborhood of the origin. Simulation results illustrate the effectiveness of the proposed control scheme.