Design of fuzzy-neural controller for BLDC motor drives

In this study, a robust fuzzy-neural control scheme for a BLDCM (BLDC motor) control system is proposed. The tuning laws of network-parameters are derived in the sense of Lyapunov theorem to guarantee the stability of BLDCM control system. The nominal model of BLDCM system was formulated from the experiment data. First, using numerical simulations to validate the concept of control approach and then implementing the proposed controller in a DSP TMS320F2812. The experiment results indicate that using the proposed control scheme for a BLDCM control system is feasible and effective.