Speed control of BLDC motor with neural controller

Objective: BLDC motor specifically used for high speed applications and needs sophisticated control. Conventional controls techniques require more physical involvement assisting to operate with precise value. However, soft tuning based controller may give comparatively better results that the same has been elaborated in present paper using neural of as per requirements.the main objective this study be summarized (i) MATLAB simulink model incorporated tuned inverter simultaneously, (ii) development control, (iii) validation developed through proposed available PI, PID fuzzy logic controller. Methods: The obtained input supply voltage variations are a reference signal training testing purpose With help these signals, control executes gives optimum values external parameters such electromagnetic torque. Result: outcome provides dynamic execution controllerbased on network. controller’s validated mathematically system. efficiency sensitivity checked by MATLAB-Simulink software. Novelty: comparative paper. Matlab produces tables figures. Keywords: Motor; control; network