Model Predictive Direct Torque Control—Part II: Implementation and Experimental Evaluation

By Georgios Papafotiou, J. Kley, Kostas G. Papadopoulos, Patrick Bohren, Manfred Morari. IEEE transactions on industrial electronics (1982. Print), 2009

320 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e47ec686c3c715cecd1ecf3c2e1a7c28ba8d9f20

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Tobias Geyer
2. Yongchang Zhang
3. Ralph M. Kennel
4. Xiaoguang Zhang
5. José Raúl Rodríguez Rodríguez
6. Petros P. Karamanakos
7. Dirk Abel
8. Thomas Bergs

In Electrical and Electronic Engineering

1. Tobias Geyer
2. Yongchang Zhang
3. Petros P. Karamanakos
4. Ralph M. Kennel
5. Xiaoguang Zhang
6. José Raúl Rodríguez Rodríguez
7. Dirk Abel
8. Thomas Bergs

Citations in the corpus

• Model Predictive Current Control for PMSM Drives With Parameter Robustness Improvement (2019, methodology): “However, along with the development of the digital microprocessor, MPC has been widely applied to other application areas, such as power quality [10], [11], machine drive [12]–[14], grid-connected converters [15], [16], and controllable power supplies [17], [18].”
• Model predictive control of high power converters and industrial drives (2016, methodology): “Following the line of thought in [6], the machine model is grouped into three sets of equations.”
• Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods (2015, methodology): “method for motors [22], [23], and it even has comparable performances with those of the field oriented control (FOC)”
• Model Predictive Control of Multilevel Cascaded H-Bridge Inverters (2010, unknown): “control of an induction machine [23]–[26].”
• Review on model predictive control: an engineering perspective (2021, methodology): “[93] implemented MPC for direct torque control on a 1.”
• State of the Art of Finite Control Set Model Predictive Control in Power Electronics (2013, unknown): “Other recent applications of MPC in drives aim not only for current or torque control but also other simultaneous objectives such as reducing the switching losses [35], balancing the neutral point potential in NPC inverters [48], [51] and mitigating filter Fig.”
• Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges (2020, background): “prediction with extrapolation or interpolation [39], [40], [48], or their combinations [42].”