IAS '97. Conference Record of the 1997 IEEE Industry Applications Conference Thirty-Second IAS Annual Meeting
DOI: 10.1109/ias.1997.643125
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Torque ripple minimization in switched reluctance motors using adaptive fuzzy control

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Cited by 98 publications
(30 citation statements)
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“…Yao et al applied a fuzzy neural network modeling to learn the nonlinear static position-torque-current and flux linkage characteristics for torque control of the SRA [74]- [75]. Then, torque distribution function was used to calculate the phase torque and the ANFIS inverse torque model to obtain optimize current waveform.…”
Section: Intelligent Controlmentioning
confidence: 99%
“…Yao et al applied a fuzzy neural network modeling to learn the nonlinear static position-torque-current and flux linkage characteristics for torque control of the SRA [74]- [75]. Then, torque distribution function was used to calculate the phase torque and the ANFIS inverse torque model to obtain optimize current waveform.…”
Section: Intelligent Controlmentioning
confidence: 99%
“…In SRM with many stator/rotor poles or with a large salient pole width, the torque ripple is not extremely large. In such cases, a nearly flat instantaneous torque can be obtained by using multipulse control to provide a flat-top trapezoidal wave current in the appropriate rotor positions and conduction intervals [7][8][9][10][11], which is called trapezoidal current control. In most control schemes of this kind, the flat-top current is calculated by approximation functions, and the actual current is controlled by tracking the reference waveform thus obtained.…”
Section: Introductionmentioning
confidence: 99%
“…In most control schemes of this kind, the flat-top current is calculated by approximation functions, and the actual current is controlled by tracking the reference waveform thus obtained. In addition, fuzzy control may be used to compensate for nonlinearity [11].…”
Section: Introductionmentioning
confidence: 99%
“…An adaptive fuzzy controller for torque-ripple minimization is presented by Mir et al [4]. Aiming at torque-ripple minimization, the controller is independent from the accurate SRM model and can adapt to the change of motor characteristics.…”
Section: Introductionmentioning
confidence: 99%