Vector control of brushless doubly-fed induction machines based on highly efficient nonlinear controllers

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Mosaddegh Hesar, Hamidreza, Liang, Xiaodong, Salahmanesh, Mohammad Ali, Ayaz Khoshhava, Mojtaba and Abdi, Salman (2023) Vector control of brushless doubly-fed induction machines based on highly efficient nonlinear controllers. IEEE Transactions on Industrial Electronics. ISSN 0278-0046

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Abstract

Recent advancement in design and control of brushless doubly-fed induction machine (BDFIM) has substantially improved its performance. In this article, two high efficient vector control schemes are proposed for the BDFIM drive based on Lyapunov nonlinear techniques. The first scheme aims for speed control with a one-level structure without an inner loop controller, and the rotor speed error is delivered to a backstepping speed controller. The second scheme has a two-level structure with a backstepping controller and a model reference controller for torque and speed control, respectively. To enhance the performance, the proposed control schemes are based on a novel maximum torque per Ampere (MTPA) control strategy, and their stability is proven by Lyapunov control theory. The proposed controllers are validated experimentally on a 3-kW prototype D132-BDFIM by a TMS320F2833 microcontroller synchronized with a personal computer, and show superior performance over optimal proportional-integral controllers under changing reference speed and load torque.

Item Type:	Article
Uncontrolled Keywords:	adaptation models,backstepping controller,induction machines,lyapunov control theory,machine vector control,rotors,stator windings,torque,windings,brushless doubly-fed induction machine,model reference controller,speed control,vector control,control and systems engineering,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/2200/2207
Faculty \ School:	Faculty of Science > School of Engineering
Related URLs:	http://www.scopus.com/inward/record.url?... https://ieeexplore.ieee.org/abstract/doc...
Depositing User:	LivePure Connector
Date Deposited:	31 Oct 2023 02:42
Last Modified:	07 Nov 2023 02:49
URI:	https://ueaeprints.uea.ac.uk/id/eprint/93506
DOI:	10.1109/TIE.2023.3296811

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