A Direct Model Predictive Control Strategy with Optimized Sampling Interval

Qifan Yang; Petros Karamanakos; Tobias Geyer; Ralph Kennel

doi:10.1109/PRECEDE51386.2021.9680882

A Direct Model Predictive Control Strategy with Optimized Sampling Interval

Qifan Yang, Petros Karamanakos, Tobias Geyer, Ralph Kennel

Electrical Engineering

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

1 Citation (Scopus)

8 Downloads (Pure)

Abstract

In this paper we present a direct model predictive control (MPC) scheme with time-varying sampling intervals. These sampling intervals are computed based on modulation (half-)cycles, which are obtained offline and stored in a look-up table. By utilizing the optimized modulation (half-)cycles and combining control and modulation in one computational stage, the proposed direct MPC scheme achieves lower current total harmonic distortion (THD) than conventional linear controllers with a dedicated modulator, and fast transient responses that characterize direct control methods. The effectiveness of the proposed control scheme is verified on a variable speed drive system consisting of a two-level voltage source inverter and an induction machine.

Original language	English
Title of host publication	6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
Publisher	IEEE
Pages	268-274
Number of pages	7
ISBN (Electronic)	9781665425575
DOIs	https://doi.org/10.1109/PRECEDE51386.2021.9680882
Publication status	Published - 2021
Publication type	A4 Article in conference proceedings
Event	IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics - Jinan, China Duration: 20 Nov 2021 → 22 Nov 2021

Publication series

Name	IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics

Conference

Conference	IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics
Country/Territory	China
City	Jinan
Period	20/11/21 → 22/11/21

Keywords

AC drives
direct control
model predictive control (MPC)
optimized modulation cycles

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Electrical and Electronic Engineering
Mechanical Engineering
Control and Optimization
Energy Engineering and Power Technology
Control and Systems Engineering

Access to Document

10.1109/PRECEDE51386.2021.9680882

A Direct Model Predictive Control Strategy with Optimized Sampling Interval
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Accepted author manuscript, 514 KBLicence: Unspecified

https://urn.fi/URN:NBN:fi:tuni-202301121348

Cite this

Yang, Q., Karamanakos, P., Geyer, T., & Kennel, R. (2021). A Direct Model Predictive Control Strategy with Optimized Sampling Interval. In 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 (pp. 268-274). (IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics). IEEE. https://doi.org/10.1109/PRECEDE51386.2021.9680882

Yang, Qifan ; Karamanakos, Petros ; Geyer, Tobias et al. / A Direct Model Predictive Control Strategy with Optimized Sampling Interval. 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021. IEEE, 2021. pp. 268-274 (IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics).

@inproceedings{b2ca06a438634c979a8d21a1295db30a,

title = "A Direct Model Predictive Control Strategy with Optimized Sampling Interval",

abstract = "In this paper we present a direct model predictive control (MPC) scheme with time-varying sampling intervals. These sampling intervals are computed based on modulation (half-)cycles, which are obtained offline and stored in a look-up table. By utilizing the optimized modulation (half-)cycles and combining control and modulation in one computational stage, the proposed direct MPC scheme achieves lower current total harmonic distortion (THD) than conventional linear controllers with a dedicated modulator, and fast transient responses that characterize direct control methods. The effectiveness of the proposed control scheme is verified on a variable speed drive system consisting of a two-level voltage source inverter and an induction machine. ",

keywords = "AC drives, direct control, model predictive control (MPC), optimized modulation cycles",

author = "Qifan Yang and Petros Karamanakos and Tobias Geyer and Ralph Kennel",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics ; Conference date: 20-11-2021 Through 22-11-2021",

year = "2021",

doi = "10.1109/PRECEDE51386.2021.9680882",

language = "English",

series = "IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics",

publisher = "IEEE",

pages = "268--274",

booktitle = "6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021",

address = "United States",

}

Yang, Q, Karamanakos, P, Geyer, T & Kennel, R 2021, A Direct Model Predictive Control Strategy with Optimized Sampling Interval. in 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021. IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, IEEE, pp. 268-274, IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, Jinan, China, 20/11/21. https://doi.org/10.1109/PRECEDE51386.2021.9680882

A Direct Model Predictive Control Strategy with Optimized Sampling Interval. / Yang, Qifan; Karamanakos, Petros; Geyer, Tobias et al.
6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021. IEEE, 2021. p. 268-274 (IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics).

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

TY - GEN

T1 - A Direct Model Predictive Control Strategy with Optimized Sampling Interval

AU - Yang, Qifan

AU - Karamanakos, Petros

AU - Geyer, Tobias

AU - Kennel, Ralph

PY - 2021

Y1 - 2021

N2 - In this paper we present a direct model predictive control (MPC) scheme with time-varying sampling intervals. These sampling intervals are computed based on modulation (half-)cycles, which are obtained offline and stored in a look-up table. By utilizing the optimized modulation (half-)cycles and combining control and modulation in one computational stage, the proposed direct MPC scheme achieves lower current total harmonic distortion (THD) than conventional linear controllers with a dedicated modulator, and fast transient responses that characterize direct control methods. The effectiveness of the proposed control scheme is verified on a variable speed drive system consisting of a two-level voltage source inverter and an induction machine.

AB - In this paper we present a direct model predictive control (MPC) scheme with time-varying sampling intervals. These sampling intervals are computed based on modulation (half-)cycles, which are obtained offline and stored in a look-up table. By utilizing the optimized modulation (half-)cycles and combining control and modulation in one computational stage, the proposed direct MPC scheme achieves lower current total harmonic distortion (THD) than conventional linear controllers with a dedicated modulator, and fast transient responses that characterize direct control methods. The effectiveness of the proposed control scheme is verified on a variable speed drive system consisting of a two-level voltage source inverter and an induction machine.

KW - AC drives

KW - direct control

KW - model predictive control (MPC)

KW - optimized modulation cycles

U2 - 10.1109/PRECEDE51386.2021.9680882

DO - 10.1109/PRECEDE51386.2021.9680882

M3 - Conference contribution

AN - SCOPUS:85125811769

T3 - IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics

SP - 268

EP - 274

BT - 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021

PB - IEEE

T2 - IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics

Y2 - 20 November 2021 through 22 November 2021

ER -

Yang Q, Karamanakos P, Geyer T, Kennel R. A Direct Model Predictive Control Strategy with Optimized Sampling Interval. In 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021. IEEE. 2021. p. 268-274. (IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics). doi: 10.1109/PRECEDE51386.2021.9680882

A Direct Model Predictive Control Strategy with Optimized Sampling Interval

Abstract

Publication series

Conference

Keywords

Publication forum classification

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this