A New Formula of Predictive Control for an Induction Motor:Comparative Study with MP DTC
The paper introduces a new design for the predictive control of IM drives. The design of the proposed controller is performed through studying the interconnection between the motor's torque and slip speed. The contribution of the new strategy is illustrated through the simplified error function...
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Published in: | 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia) pp. 1498 - 1504 |
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Main Authors: | , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
24-05-2021
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Subjects: | |
Online Access: | Get full text |
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Summary: | The paper introduces a new design for the predictive control of IM drives. The design of the proposed controller is performed through studying the interconnection between the motor's torque and slip speed. The contribution of the new strategy is illustrated through the simplified error function design which includes two similar terms of the same category, thus there is no need to use a balancing weight factor which is usually used in model predictive direct torque control (MP DTC). The dynamic errors of the alpha-beta (α-β) voltages are utilized to formulate the cost-function, which contributed significantly in reducing the execution time in comparison with the function used by the MP DTC method which has two distinct parts (torque and flux errors) besides using a weighting value (W f ). Moreover, the intended model predictive voltage control (MP VC) has a faster dynamic response than the MP DTC, and this is due to controlling directly the applied voltage vectors instead of controlling estimated variables as in MP DTC. To illustrate the contributions of the new strategy, a comparative study between the constructed MP VC and MP DTC control approaches for IM is introduced. The results report that the designed MP VC has a better dynamic in terms of reduced ripples, reduced voltage and current distortions, reduced calculation time, and faster dynamic response. |
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ISSN: | 2150-6086 |
DOI: | 10.1109/ECCE-Asia49820.2021.9479267 |