LAPSE:2023.21965
Published Article
LAPSE:2023.21965
Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches
Karol Wróbel, Piotr Serkies, Krzysztof Szabat
March 23, 2023
In the paper a comparative study of the two control structures based on MPC (Model Predictive Control) for an electrical drive system with an induction motor are presented. As opposed to the classical approach, in which DFOC (Direct Field Oriented Control) with four controllers is considered, in the current study only one MPC controller is utilized. The proposed control structures have a cascade free structure that consists of a vector of electromagnetic (torque, flux) and mechanical (speed) states of the system. The first investigated framework is based on the finite-set MPC. A short horizon predictive window is selected. The continuous set MPC is used in the second framework. In this case the predictive horizon contains several samples. The computational complexity of the algorithm is reduced by applying its explicit version. Different implementation aspects of both MPC structures, for instance the model used in prediction, complexity of the control algorithms, and their properties together with the noise level are analyzed. The effectiveness of the proposed approach is validated by some experimental tests.
Keywords
continuous set, finite set, induction motor drive, Model Predictive Control
Suggested Citation
Wróbel K, Serkies P, Szabat K. Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches. (2023). LAPSE:2023.21965
Author Affiliations
Wróbel K: Department of Electrical Drives and Measurements, Wrocław University of Science and Technology, 50-370 Wrocław, Poland [ORCID]
Serkies P: Department of Electrical Drives and Measurements, Wrocław University of Science and Technology, 50-370 Wrocław, Poland
Szabat K: Department of Electrical Drives and Measurements, Wrocław University of Science and Technology, 50-370 Wrocław, Poland
Journal Name
Energies
Volume
13
Issue
5
Article Number
E1193
Year
2020
Publication Date
2020-03-05
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13051193, Publication Type: Journal Article
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LAPSE:2023.21965
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doi:10.3390/en13051193
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Mar 23, 2023
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