Variable switching point parallel predictive torque control (VSP3TC) for induction motor

Qing Chen; Haotian Xie; Ralph Kennel

doi:10.1109/ICIT45562.2020.9067317

Variable switching point parallel predictive torque control (VSP³TC) for induction motor

Qing Chen, Haotian Xie, Ralph Kennel

Chair of High-Power Converter Systems

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper presents a variable switching point parallel predictive torque control (VSP³TC) strategy for an induction motor. VSP³TC is introduced as one method of the Finite-Set Model Predictive Control (FS-MPC) methodology. The mainly three drawbacks of FS-PMC are high ripples on controlled variables, adjustment of weighting factors and high calculation effort demand, respectively. VSP³TC implements a recently proposed parallel predictive torque control (PPTC) algorithm by means of a variable switching point. In this way, not only can a switching state be applied for less than a whole sample cycle which results in a lower torque ripple, but weighting factor can also be eliminated. Experimental results are provided to verify the performance of VSP³TC strategy.

Original language	English
Title of host publication	Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1112-1117
Number of pages	6
ISBN (Electronic)	9781728157542
DOIs	https://doi.org/10.1109/ICIT45562.2020.9067317
State	Published - Feb 2020
Event	21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina Duration: 26 Feb 2020 → 28 Feb 2020

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Volume	2020-February

Conference

Conference	21st IEEE International Conference on Industrial Technology, ICIT 2020
Country/Territory	Argentina
City	Buenos Aires
Period	26/02/20 → 28/02/20

Access to Document

10.1109/ICIT45562.2020.9067317

Cite this

Chen, Q., Xie, H., & Kennel, R. (2020). Variable switching point parallel predictive torque control (VSP³TC) for induction motor. In Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020 (pp. 1112-1117). Article 9067317 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2020-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT45562.2020.9067317

Chen, Qing ; Xie, Haotian ; Kennel, Ralph. / Variable switching point parallel predictive torque control (VSP³TC) for induction motor. Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 1112-1117 (Proceedings of the IEEE International Conference on Industrial Technology).

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title = "Variable switching point parallel predictive torque control (VSP3TC) for induction motor",

abstract = "This paper presents a variable switching point parallel predictive torque control (VSP3TC) strategy for an induction motor. VSP3TC is introduced as one method of the Finite-Set Model Predictive Control (FS-MPC) methodology. The mainly three drawbacks of FS-PMC are high ripples on controlled variables, adjustment of weighting factors and high calculation effort demand, respectively. VSP3TC implements a recently proposed parallel predictive torque control (PPTC) algorithm by means of a variable switching point. In this way, not only can a switching state be applied for less than a whole sample cycle which results in a lower torque ripple, but weighting factor can also be eliminated. Experimental results are provided to verify the performance of VSP3TC strategy.",

author = "Qing Chen and Haotian Xie and Ralph Kennel",

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doi = "10.1109/ICIT45562.2020.9067317",

language = "English",

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Chen, Q, Xie, H & Kennel, R 2020, Variable switching point parallel predictive torque control (VSP³TC) for induction motor. in Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020., 9067317, Proceedings of the IEEE International Conference on Industrial Technology, vol. 2020-February, Institute of Electrical and Electronics Engineers Inc., pp. 1112-1117, 21st IEEE International Conference on Industrial Technology, ICIT 2020, Buenos Aires, Argentina, 26/02/20. https://doi.org/10.1109/ICIT45562.2020.9067317

Variable switching point parallel predictive torque control (VSP³TC) for induction motor. / Chen, Qing; Xie, Haotian; Kennel, Ralph.
Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1112-1117 9067317 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2020-February).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper presents a variable switching point parallel predictive torque control (VSP3TC) strategy for an induction motor. VSP3TC is introduced as one method of the Finite-Set Model Predictive Control (FS-MPC) methodology. The mainly three drawbacks of FS-PMC are high ripples on controlled variables, adjustment of weighting factors and high calculation effort demand, respectively. VSP3TC implements a recently proposed parallel predictive torque control (PPTC) algorithm by means of a variable switching point. In this way, not only can a switching state be applied for less than a whole sample cycle which results in a lower torque ripple, but weighting factor can also be eliminated. Experimental results are provided to verify the performance of VSP3TC strategy.

AB - This paper presents a variable switching point parallel predictive torque control (VSP3TC) strategy for an induction motor. VSP3TC is introduced as one method of the Finite-Set Model Predictive Control (FS-MPC) methodology. The mainly three drawbacks of FS-PMC are high ripples on controlled variables, adjustment of weighting factors and high calculation effort demand, respectively. VSP3TC implements a recently proposed parallel predictive torque control (PPTC) algorithm by means of a variable switching point. In this way, not only can a switching state be applied for less than a whole sample cycle which results in a lower torque ripple, but weighting factor can also be eliminated. Experimental results are provided to verify the performance of VSP3TC strategy.

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Chen Q, Xie H, Kennel R. Variable switching point parallel predictive torque control (VSP³TC) for induction motor. In Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1112-1117. 9067317. (Proceedings of the IEEE International Conference on Industrial Technology). doi: 10.1109/ICIT45562.2020.9067317