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

This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Received 25/06/2018, Accepted 02/08/2018, Published 22/01/2019

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.

Inspec keywords: adaptive control; brushless DC motors; angular velocity control; fuzzy logic; particle swarm optimisation; DC motor drives; control system synthesis; velocity control; fuzzy control; machine control

Other keywords: dynamic performance; parameter variations; adaptive controller design; fuzzy logic speed controller; servo response; adaptive MF; BLDC motor drive; nonlinearities; parameter uncertainties; fuzzy Logic controller; membership function parameters

Subjects: Self-adjusting control systems; Drives; Control of electric power systems; d.c. machines; Velocity, acceleration and rotation control; Fuzzy control; Control system analysis and synthesis methods

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