Abstract
This paper presents the implementation of space vector modulation (SVM) based direct torque control (DTC) of sensorless induction motor (IM) drive, using brain emotional controller (BEC). An Intelligent controller is developed by the mammalian brain is to deliver emotions by processing information in amygdale and orbitofrontal cortex. It is very well structured as quick acting controller and appropriate for self-learning control applications. A model reference adaptive system (MRAS) with sensorless stator and rotor flux observer is used to estimate the stator and rotor fluxes, stator currents and rotor speed of sensorless IM. The proposed strategy is implemented on Opal-RT digital simulator to control the speed, torque ripple and flux ripple reduction of the SVM-DTC sensorless IM when compared with PI control. Accordingly, the simulation and experimental results have been carried out.
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Appendix 1
Appendix 1
Parameters of Induction Motor
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Savarapu, S., Narri, Y. (2021). Real-Time Implementation of Brain Emotional Controller for Sensorless Induction Motor Drive with Adaptive System. In: Gunjan, V.K., Zurada, J.M. (eds) Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough. Studies in Computational Intelligence, vol 956. Springer, Cham. https://doi.org/10.1007/978-3-030-68291-0_9
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