On the Benefit of Long-Horizon Direct Model Predictive Control for Drives with LC Filters

被引:0
|
作者
Geyer, Tobias [1 ]
Karamanakos, Petros [2 ]
Kennel, Ralph [2 ]
机构
[1] ABB Corp Res, CH-5405 Baden, Switzerland
[2] Tech Univ Munich, Inst Elect Drive Syst & Power Elect, D-80333 Munich, Germany
关键词
VOLTAGE-SOURCE INVERTER; POWER ELECTRONICS; ACHIEVE;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Even though direct model predictive control (MPC) schemes almost exclusively use a prediction horizon of one in power electronics applications, the use of longer horizons offers significant performance benefits. This statement is underlined in this paper for a medium-voltage variable speed drive system, which consists of a three-level inverter, an LC filter and an induction machine. The proposed MPC controller simultaneously regulates the inverter current, capacitor voltage and stator current along given references, by manipulating the switch positions of the inverter. As will be shown, extending the prediction horizon significantly reduces the oscillations due to the filter resonance. For sufficiently long horizons, such as ten, low total harmonic distortions of the stator current can be achieved at low device switching frequencies. An additional active damping loop is not required, adding to the conceptual simplicity of the proposed control scheme.
引用
收藏
页码:3520 / 3527
页数:8
相关论文
共 50 条
  • [11] Experimental Evaluation of Sphere Decoding for Long-Horizon Direct Model Predictive Control
    Dorfling, Martinus
    Mouton, Hendrik
    Karamanakos, Petros
    Geyer, Tobias
    2017 19TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'17 ECCE EUROPE), 2017,
  • [12] Computationally Efficient Sphere Decoding for Long-Horizon Direct Model Predictive Control
    Karamanakos, Petros
    Geyer, Tobias
    Mouton, Toit
    Kennel, Ralph
    2016 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2016,
  • [13] Long-Horizon Direct Model Predictive Control With Active Balancing of the Neutral Point Potential
    Liegmann, Eyke
    Karamanakos, Petros
    Geyer, Tobias
    Mouton, Toit
    Kennel, Ralph
    2017 IEEE INTERNATIONAL SYMPOSIUM ON PREDICTIVE CONTROL OF ELECTRICAL DRIVES AND POWER ELECTRONICS (PRECEDE), 2017, : 89 - 94
  • [14] Reformulation of the Long-Horizon Direct Model Predictive Control Problem to Reduce the Computational Effort
    Karamanakos, Petros
    Geyer, Tobias
    Kennel, Ralph
    2014 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2014, : 3512 - 3519
  • [15] Long-Horizon Direct Model Predictive Control: Modified Sphere Decoding for Transient Operation
    Karamanakos, Petros
    Geyer, Tobias
    Aguilera, Ricardo P.
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2018, 54 (06) : 6060 - 6070
  • [16] Long-horizon model predictive control of induction motor drive
    Wrobel, Karol Tomasz
    Szabat, Krzysztof
    Serkies, Piotr
    ARCHIVES OF ELECTRICAL ENGINEERING, 2019, 68 (03) : 579 - 593
  • [17] Long-Horizon Robust Direct Model Predictive Control for Medium-Voltage Induction Motor Drives With Reduced Computational Complexity
    Tregubov, Andrei
    Karamanakos, Petros
    Ortombina, Ludovico
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2023, 59 (02) : 1775 - 1787
  • [18] Real-Time Implementation of Long-Horizon Direct Model Predictive Control on an Embedded System
    Liegmann, Eyke
    Karamanakos, Petros
    Kennel, Ralph
    IEEE OPEN JOURNAL OF INDUSTRY APPLICATIONS, 2022, 3 : 1 - 12
  • [19] Implementation of a Long-Horizon Model Predictive Control Algorithm on an Embedded System
    Liegmann, Eyke
    Karamanakos, Petros
    Kennel, Ralph
    2021 23RD EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'21 ECCE EUROPE), 2021,
  • [20] Long-Horizon Nonlinear Model Predictive Control of Modular Multilevel Converters
    Reyes Dreke, Victor Daniel
    Lazar, Mircea
    ENERGIES, 2022, 15 (04)