期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：8
页码：16702
DOI：10.15680/IJIRSET.2017.0608314
出版社：S&S Publications
摘要：This project presents a simplified self-tuned Sugeno type neuro-fuzzy controller (NFC)-based directtorque control (DTC) scheme for induction motor (IM) drive. A simple tuning algorithm is developed based on thereference and actual acceleration of the motor. The online tuning strategy adjusts the parameters of the consequentlayer of the NFC in order to minimize the square of the error between the actual and the reference acceleration of themotor. In a conventional DTC scheme, the band limits of flux and torque hysteresis controllers remain fixed, andhence, the torque and flux ripples are high. In order to minimize the torque ripples of the IM, the hysteresis band limitsare adjusted online for the torque hysteresis controller. Thus, the proposed NFC is used to achieve high dynamicperformance of the drive, and the variable hysteresis controller is used to reduce the steady-state torque ripple.
