WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 16, 2021
Torque Ripple Minimization in Switched Reluctance Motor using ANFIS Controller
Authors: , ,
Abstract: An inborn torque swell portrays changed hesitance innovation from traditional innovation. A
definitive target of this paper is to minimize the torque wave of the exchanged hesitance engine drive utilizing
Artificial Network Fuzzy Inference System based direct torque conspire. In the proposed controller arrange
proper bits of information are picked for preparing and testing. The best possible choice of the learning rate and
energy will help in weight change. The Intelligent controller gives high power over motor torque and speed,
lessens rise time just as overshoot. Here the blunder is decreased which demonstrates that the determination of
voltage vectors from the vector table is exact and its outcomes in better torque reaction over a wide scope of
speed. The reenactment results uncover that the torque swells fluctuate between 3.75% to 2.25% for the variety
in load torque and the drive speed. The experimental results for the proposed controller reveal that the torque
ripple varies between 3.9% to 2.4% for the variation in speed. Both the recreation and equipment results
delineate the effectiveness of the controller
Search Articles
Pages: 171-182
DOI: 10.37394/23203.2021.16.14