The BLDC motors are widely used in
industrial applications. The load characteristic and controller are important
to obtain optimum performance in the speed control of the BLDC motor because
some problems are occurred in speed control of nonlinear loads which is used the
conventional control methods. The single link manipulator used in robotic
applications is a nonlinear system for control algorithms. The load of motor is
determined on considering the conversion ratio of the reducer box. In this
study, a single link manipulator system consist of BLDC motor, reducer gearbox
and robot arm is controlled by using NARMA-L2 controller as known modern
control method in used the control of the nonlinear systems. The NARMA-L2
controller is based on neural network. The single link manipulator system is
analyzed by using MATLAB/Simulink environment. The speed control of the BLDC
motor is performed in conditions the constant and nonlinear load. The results
show that the speed control of BLDC motor is performed the high performance in
nonlinear loads.
BLDC motor Neural networks NARMA-L2 controller Single link manipulator
Birincil Dil | İngilizce |
---|---|
Konular | Elektrik Mühendisliği |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 30 Nisan 2019 |
Yayımlandığı Sayı | Yıl 2019 Cilt: 7 Sayı: 2 |
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