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Robust Estimation-Based Control Strategies for Induction Motors
Joint Authors
Stîngă, Florin
Marian, Marius
Selişteanu, Dan
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-29
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Stîngă, Florin& Marian, Marius& Selişteanu, Dan. 2020. Robust Estimation-Based Control Strategies for Induction Motors. Complexity،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1145472
Modern Language Association (MLA)
Stîngă, Florin…[et al.]. Robust Estimation-Based Control Strategies for Induction Motors. Complexity No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1145472
American Medical Association (AMA)
Stîngă, Florin& Marian, Marius& Selişteanu, Dan. Robust Estimation-Based Control Strategies for Induction Motors. Complexity. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1145472
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145472