Suboptimal Search Strategies With Bounded Computational Complexity to Solve Long-Horizon Direct Model Predictive Control Problems

被引：0
|
作者：
Karamanakos, Petros [1 ]
Geyer, Tobias [2 ]
Kennel, Ralph [1 ]
机构：
[1] Tech Univ Munich, Inst Elect Drive Syst & Power Elect, D-80333 Munich, Germany
[2] ABB Corp Res, CH-5405 Baden, Switzerland
来源：
2015 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE) | 2015年
关键词：
LATTICE;
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：
Search algorithms that reduce the time to solve the direct model predictive control (MPC) problem are proposed in this paper. By allowing for suboptimal solutions, the computational complexity of the underlying optimization problem can be significantly reduced, albeit by sacrificing (to a certain degree) optimality. Two approaches are presented and discussed. The first approach requires quadratic time, making it a very efficient candidate for solving the examined problem. Thanks to the second approach, a preset upper limit on the operations performed in real time is not exceeded, thus guaranteeing real-time termination in all runs. To highlight the effectiveness of the introduced strategies, a variable speed drive system with a three-level voltage source inverter is used as an illustrative example.
引用
收藏
页码：334 / 341
页数：8
相关论文
共 31 条
  • [1] 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
  • [2] 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
  • [3] Constrained Long-Horizon Direct Model Predictive Control for Power Electronics
    Karamanakos, Petros
    Geyer, Tobias
    Kennel, Ralph
    2016 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2016,
  • [4] Long-Horizon Direct Model Predictive Control for Power Converters With State Constraints
    Keusch, Raphael
    Loeliger, Hans-Andrea
    Geyer, Tobias
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2024, 32 (02) : 340 - 350
  • [5] Computationally Efficient Long-Horizon Direct Model Predictive Control for Transient Operation
    Karamanakos, Petros
    Geyer, Tobias
    Aguilera, Ricardo P.
    2017 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2017, : 4642 - 4649
  • [6] 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,
  • [7] 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,
  • [8] On the Benefit of Long-Horizon Direct Model Predictive Control for Drives with LC Filters
    Geyer, Tobias
    Karamanakos, Petros
    Kennel, Ralph
    2014 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2014, : 3520 - 3527
  • [9] Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives
    Ortombina, L.
    Liegmann, E.
    Karamanakos, P.
    Tinazzi, F.
    Zigliotto, M.
    Kennel, R.
    2018 IEEE 19TH WORKSHOP ON CONTROL AND MODELING FOR POWER ELECTRONICS (COMPEL), 2018,
  • [10] 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
1234