In this paper, an adaptive feedback control method is proposed for the anti-control of chaos of single time scale brushless DC motor system with unknown parameters based on model-matching. The well-known Rössler chaotic system is considered as the reference system. The chaotification is achieved choosing an appropriate control law and a parametric updating law using Lyapunov stability theory, which provides the stability of the resulting adaptive system and the convergence of the tracking errors to zero. The numerical simulation results show the effectiveness of the proposed method.
Nonlinear state feedback control of chaos system of brushless DC motor