High performance of brain emotional intelligent controller for DTC-SVM based sensorless induction motor drive

Autor:	Sridhar Savarapu, Yadaiah Narri
Rok vydání:	2021
Předmět:	020203 distributed computing Electronic speed control Computer science Rotor (electric) Stator 02 engineering and technology Theoretical Computer Science law.invention Support vector machine Stator voltage Direct torque control Hardware and Architecture Control theory law Adaptive system 0202 electrical engineering electronic engineering information engineering Software Induction motor Information Systems
Zdroj:	The Journal of Supercomputing. 77:8745-8766
ISSN:	1573-0484 0920-8542
DOI:	10.1007/s11227-020-03556-9
Popis:	This paper introduces the application of the induction motor (IM) drive brain emotional intelligent controller (BEIC). Intelligent regulation, modelled on the human brain, is capable of generating impulses and is used as a controller. A Model Reference Adaptive System is developed using stator current and stator voltages, which are further developed with BEIC to approximate the rotor rpm. This paper proposes that speed estimation using BEIC for direct torque control (DTC) of IM drive. The experimental work is conducted on a hardware-in-loop mechanism using a real-time digital simulator (Op-RTDS-OP5600). The simulation and test results are discussed. The proposed method is compared to the DTC-SVM-based IM drive speed control with the existing controllers.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::89b18065f3a579cd348306c3112808ab https://doi.org/10.1007/s11227-020-03556-9 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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