Fuzzy Approximation Model-based Robust Controller Design for Speed Control of BLDC Motor
نویسندگان
چکیده مقاله:
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.
منابع مشابه
State-Space Based Simulink Modeling of BLDC Motor and its Speed Control using Fuzzy PID Controller
C. P. Singh, SS Kulkarni, S.C. Rana, Kapil Deo, Scientists, Avionics Group, ARDE, Pune (DRDO), India [email protected] Abstract: In this paper, an efficient simulation model for Fuzzy logic controlled Brushless DC Motor drives using Matlab / Simulink is presented. Here Model of BLDC motor is based on State-space and its speed loop control is based on Fuzzy logic PID controller. ...
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عنوان ژورنال
دوره 28 شماره 3
صفحات 426- 432
تاریخ انتشار 2015-03-01
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