Switching-off Angle Control for Switched Reluctance Motor Using Adaptive Neural Fuzzy Inference System
نویسندگان
چکیده
منابع مشابه
Switching-off angle control for switched reluctance motor using adaptive neural fuzzy inference system
Switched reluctance motors (SRM) have a wide range of applications in industries due to the special properties of this motor. However, because of its dynamical nonlinearities, so the problems control of SRM is complex. This paper proposed an adaptive intelligent controller for SRM with the aim to improve the ripple of torque. First, we use a fuzzy logic controller to control switch-off angle, a...
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Because of extreme local saturation at pole tips of excited phase and uncircular shape of rotor and stator, a Swithed Reluctance Motor (SRM) does not have a simple and accurate mathematical model. Therefore, the output control of this motor requires a robust controller which is not based on an accurate model of the process. Fuzzy controllers, to some extent, will satisfy these requirements. Tet...
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Because of extreme local saturation at pole tips of excited phase and uncircular shape of rotor and stator, a Swithed Reluctance Motor (SRM) does not have a simple and accurate mathematical model. Therefore, the output control of this motor requires a robust controller which is not based on an accurate model of the process. Fuzzy controllers, to some extent, will satisfy these requirements. Tet...
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ژورنال
عنوان ژورنال: International Journal of Energy and Power Engineering
سال: 2015
ISSN: 2326-957X
DOI: 10.11648/j.ijepe.20150401.16