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Torque-Ripple Reduction and Fast Torque Response Strategy for Predictive Torque Control of Induction Motors
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Publication Year
2018-03-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Transactions on Power Electronics, Vol.33, pp.2458-2470
Keyword
Induction motor (IM) drivespredictive torque control (PTC)space vector modulationtorque ripple reduction
Mesh Keyword
Fast torque responseMathematical equationsModel based predictive controlPredictive torque controlsSimple control methodSpace Vector ModulationSteady state performanceTorque-ripple reduction
All Science Classification Codes (ASJC)
Electrical and Electronic Engineering
Abstract
This paper proposes a simple control method of induction motors (IMs) with improved dynamic response and steady-state performance by using a model-based predictive control algorithm. The predictive torque control (PTC) method analyzes the relationship between the electrical torque and stator voltage of IMs by using the stator voltage vector magnitude to obtain the reference voltage vector angle and accurately control the electrical torque. However, the conventional PTC method has a fixed reference voltage vector magnitude and thus has a large torque ripple in the steady state and slow dynamics in the transient state. The proposed PTC method is based on mathematical equations, which allow minimization of torque error and calculation of a relevant reference voltage to establish a better dynamic response in the transient state and accurate control performance in the steady state. Excellent steady-state performance and a quick dynamic response of the proposed method are proved by the simulation and experimental results.
ISSN
0885-8993
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/30050
DOI
https://doi.org/10.1109/tpel.2017.2699187
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Type
Article
Funding
Manuscript received December 23, 2016; revised March 18, 2017; accepted April 20, 2017. Date of publication April 27, 2017; date of current version December 1, 2017. This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2016R1A2B4010636). Recommended for publication by Associate Editor J. O. Ojo. (Corresponding Author: Kyo-Beum Lee.) Y. Cho is with the CTO Division L&A R&D Center, LG Electronics, Seoul 08592, South Korea (e-mail: marine_blue@ajou.ac.kr).
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 Lee, Kyo-Beum Image
Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
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