Adaptive MF tuned fuzzy logic speed controller for BLDC motor drive using ANN and PSO technique

Abstract

This work focuses on adaptive controller design using fuzzy Logic (FL) controller to get better dynamic performance under non-linearities and parameter uncertainties. In the proposed controller, the membership function (MF) parameters are tuned in line with the parameter variations of the motor. The steady state, regulatory and servo response of the proposed controller are analysed to highlight the merits of the controller. The simulation results indicate that the proposed controller possesses good tracking capability and faster response time in comparison with conventional schemes.

Keywords

• machine control
• DC motor drives
• adaptive control
• brushless DC motors
• velocity control
• fuzzy logic
• fuzzy control
• particle swarm optimisation
• control system synthesis
• angular velocity control
• BLDC motor drive
• adaptive controller design
• fuzzy Logic controller
• dynamic performance
• nonlinearities
• parameter uncertainties
• membership function parameters
• parameter variations
• servo response
• adaptive MF
• fuzzy logic speed controller