LAPSE:2023.33796
Published Article
LAPSE:2023.33796
Enhancement of Induction Motor Dynamics Using a Novel Sensorless Predictive Control Algorithm
Hamdi Echeikh, Mahmoud A. Mossa, Nguyen Vu Quynh, Abdelsalam A. Ahmed, Hassan Haes Alhelou
April 24, 2023
The paper introduces a novel predictive voltage control (PVC) procedure for a sensorless induction motor (IM) drive. In the constructed PVC scheme, the direct and quadrature (d-q) components of applied voltages are primarily managed instead of controlling the torque and flux as in the classic predictive torque control (PTC) technique. The theoretical basis of the designed PVC is presented and explained in detail, starting from the used cost-function with its relevant components. A comprehensive performance comparison is established between the two controllers, from which the superiorities of the designed PVC over the PTC approach can be easily investigated through the reduced ripples, reduced computation time, and faster dynamics. To sustain the system’s reliability, a combined Luenberger−sliding mode observer (L-SMO) is designed and verified for different operating speeds for the two controllers. The Luenberger component is concerned with estimating the stator current, rotor flux, and rotor speed. Meanwhile, the sliding mode term is used to ensure the system’s robustness against any disturbance. The verification of PVC’s validity is outlined through performing a performance analysis using the Matlab/Simulink software. The results illustrate that the IM dynamic is significantly improved when considering the constructed PVC compared with the IM dynamics under the PTC. In addition, the designed L-SMO observer has effectively proved its ability to achieve definite parameters and variable estimation.
Keywords
IM, Luenberger observer, predictive control, sensorless control, SMO, state estimation, torque control
Suggested Citation
Echeikh H, Mossa MA, Quynh NV, Ahmed AA, Alhelou HH. Enhancement of Induction Motor Dynamics Using a Novel Sensorless Predictive Control Algorithm. (2023). LAPSE:2023.33796
Author Affiliations
Echeikh H: Department of Electrical Engineering, National Engineering School of Monastir, Monastir 5035, Tunisia
Mossa MA: Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt [ORCID]
Quynh NV: Electrical and Electronics Department, Lac Hong University, Dong Nai 810000, Vietnam [ORCID]
Ahmed AA: Electrical Power and Machines Engineering Department, Faculty of Engineering, Tanta University, Tanta 31511, Egypt
Alhelou HH: Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering, Tishreen University, Lattakia 2230, Syria [ORCID]
Journal Name
Energies
Volume
14
Issue
14
First Page
4377
Year
2021
Publication Date
2021-07-20
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14144377, Publication Type: Journal Article
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LAPSE:2023.33796
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doi:10.3390/en14144377
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Apr 24, 2023
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