Robust Estimation-Based Control Strategies for Induction Motors

This work proposes a realistic solution to the control problem of sensorless induction motors. Due to some important aspects related to their construction and reliability, the induction motors are extensively used in many modern industrial applications. Considering that the system is facing the lack...

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Main Authors: Florin Stîngă, Marius Marian, Dan Selișteanu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/9235701
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author Florin Stîngă
Marius Marian
Dan Selișteanu
author_facet Florin Stîngă
Marius Marian
Dan Selișteanu
author_sort Florin Stîngă
collection DOAJ
description This work proposes a realistic solution to the control problem of sensorless induction motors. Due to some important aspects related to their construction and reliability, the induction motors are extensively used in many modern industrial applications. Considering that the system is facing the lack of hardware sensors, the proposed complex control strategies are based on the estimation of unavailable system variables and parameters. In order to control the rotor speed, two robust control strategies are proposed: a modified super-twisting adaptive technique and a model predictive technique. The tests performed under several practical assumptions show that the closed loop behaviour of the system is adequate, and the output variable follows the imposed time varying reference, despite the considered uncertainties and disturbances acting on the process.
format Article
id doaj-art-c904effd474e4ed9985a589863838748
institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-c904effd474e4ed9985a5898638387482025-02-03T05:49:38ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/92357019235701Robust Estimation-Based Control Strategies for Induction MotorsFlorin Stîngă0Marius Marian1Dan Selișteanu2Department of Automatic Control and Electronics, University of Craiova, A.I. Cuza No. 13, Craiova, RO 200585, RomaniaDepartment of Computers and Information Technology, University of Craiova, A.I. Cuza No. 13, Craiova, RO 200585, RomaniaDepartment of Automatic Control and Electronics, University of Craiova, A.I. Cuza No. 13, Craiova, RO 200585, RomaniaThis work proposes a realistic solution to the control problem of sensorless induction motors. Due to some important aspects related to their construction and reliability, the induction motors are extensively used in many modern industrial applications. Considering that the system is facing the lack of hardware sensors, the proposed complex control strategies are based on the estimation of unavailable system variables and parameters. In order to control the rotor speed, two robust control strategies are proposed: a modified super-twisting adaptive technique and a model predictive technique. The tests performed under several practical assumptions show that the closed loop behaviour of the system is adequate, and the output variable follows the imposed time varying reference, despite the considered uncertainties and disturbances acting on the process.http://dx.doi.org/10.1155/2020/9235701
spellingShingle Florin Stîngă
Marius Marian
Dan Selișteanu
Robust Estimation-Based Control Strategies for Induction Motors
Complexity
title Robust Estimation-Based Control Strategies for Induction Motors
title_full Robust Estimation-Based Control Strategies for Induction Motors
title_fullStr Robust Estimation-Based Control Strategies for Induction Motors
title_full_unstemmed Robust Estimation-Based Control Strategies for Induction Motors
title_short Robust Estimation-Based Control Strategies for Induction Motors
title_sort robust estimation based control strategies for induction motors
url http://dx.doi.org/10.1155/2020/9235701
work_keys_str_mv AT florinstinga robustestimationbasedcontrolstrategiesforinductionmotors
AT mariusmarian robustestimationbasedcontrolstrategiesforinductionmotors
AT danselisteanu robustestimationbasedcontrolstrategiesforinductionmotors