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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Bibliographic Details
Published in:Complexity (New York, N.Y.) N.Y.), 2020, Vol.2020 (2020), p.1-14
Main Authors: Stîngă, Florin, Selişteanu, Dan, Marian, Marius
Format: Article
Language:English
Subjects:
Adaptive control
Analysis
Closed loops
Control algorithms
Design
Hypotheses
Induction electric motors
Induction motors
Industrial applications
Order parameters
Performance prediction
Process controls
Publishing industry
Reliability aspects
Robust control
Rotor speed
Sensors
Software
Twisting
Variables
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Summary: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.
ISSN:1076-2787
1099-0526
DOI:10.1155/2020/9235701