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.
To handle the shortages of conventional PID control, recur to the high-performance digital signal processor, combine the fuzzy self-adaption controller with brushless dc motor control system. The results show the control system structure is simplified and the performances of control system are improved comparing to the conventional PID control, the performance index is better than that in conventional PID control system, so the stability of brushless dc motor operation is strengthened.
