- Title
- A high performance feedback quantized predictive control of induction machine drives
- Creator
- Muslem Uddin, S. M.; Mirzaeva, Galina
- Relation
- 2020 IEEE Energy Conversion Congress and Exposition (ECCE). Proceeding of the 12th Annual IEEE Energy Conversion Congress & Exposition (ECCE 2020) (Detroit, Michigan, USA 11-15 October, 2020) p. 5930-5935
- Publisher Link
- http://dx.doi.org/10.1109/ecce44975.2020.9236163
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2020
- Description
- This paper proposes a high performance feedback quantized model predictive control (FBQ-MPC) method for induction motor (IM) drives fed by a voltage source inverter (VSI). The proposed FBQ-MPC method includes reference voltage determination, selection of the 'best' voltage from a Finite Set, and application of this voltage via a nearest neighbour quantizer (NNQ) with a feedback loop around it.The following objectives are achieved by the proposed method: (a) elimination of the use of weighting factors in the cost function, (b) improved tracking performance; (c) improved harmonic performance; (d) reduction of torque ripple; and (e) mitigation of common-mode voltage (CMV). The paper compares the proposed FBQ-MPC method with two classical MPC strategies for IM drives and shows a superior performance. To confirm its effectiveness, the paper includes validation of the proposed method by extensive simulations in Matlab/Simulink, and experiments using TMS320F 28377D platform.
- Subject
- feedback quantization; predictive control; power converter; voltage source inverter; induction motor
- Identifier
- http://hdl.handle.net/1959.13/1425447
- Identifier
- uon:38248
- Identifier
- ISBN:9781728158266
- Identifier
- ISSN:2329-3721
- Language
- eng
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