Fuzzy Approximation Model-based Robust Controller Design for Speed Control of BLDC Motor

Author(s):

M. Zolfaghari * , S. A. Taher

Message:
Abstract:
This paper presents a new controller for speed control problem of the BLDC motors. The nonlinear model of the motor is approximated by implementation of fuzzy rules. The uncertainties are considered in the fuzzy system. Using this model and linear matrix inequality (LMI) optimization, a robust controller for purpose of speed control of the motor has been designed and applied to it. The effectiveness of the designed controls demonstrated through simulation results.
Keywords:

BLDC Motor , Fuzzy Approximation , Robust Controller

Language:
English
Published:
International Journal of Engineering, Volume:28 Issue: 3, Mar 2015
Pages:
426 to 432
https://www.magiran.com/p1381425