Model Predictive Direct Torque Control—Part I: Concept, Algorithm, and Analysis
By Tobias Geyer, Georgios Papafotiou, Manfred Morari. IEEE transactions on industrial electronics (1982. Print), 2009
785 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/113decaa3ab70046a6b26969aad577f9190b6699
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
- Tobias Geyer
- José Raúl Rodríguez Rodríguez
- Tomislav Dragicevic
- Yongchang Zhang
- Ralph M. Kennel
- Christian A. Rojas
- José R. Espinoza
- Sergio Vazquez
In Electrical and Electronic Engineering
- Tobias Geyer
- José Raúl Rodríguez Rodríguez
- Yongchang Zhang
- Tomislav Dragicevic
- Leopoldo García Franquelo
- Sergio Vazquez
- Petros P. Karamanakos
- José R. Espinoza
Citations in the corpus
- Latest Advances of Model Predictive Control in Electrical Drives—Part II: Applications and Benchmarking With Classical Control Methods (2021, background): “MP(3)C achieves the same torque settling time as DTC [122], [123], which is below 1 ms.”
- 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].”
- Finite-Control-Set Model Predictive Torque Control With a Deadbeat Solution for PMSM Drives (2015, neutral): “In [9] and [10], sphere decoding is utilized to reduce the calculation time and to enable long horizon prediction for FCS-MPTC.”
- 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 Current Control for PMSM Drives With Parameter Robustness Improvement (2019, background): “Among these advanced control methods, the MPC receives increased attention because of its simple implementation, straightforward handling of nonlinearities and constraints, and good dynamic performance [3]–[8].”
- Predictive Torque and Flux Control Without Weighting Factors (2013, background): “The use of a single cost function to solve the optimization problem at each sampling time is not the only possible alternative [24], [25].”
- Model Predictive Direct Torque Control—Part II: Implementation and Experimental Evaluation (2009, methodology): “In the context of the MPDTC algorithm described in [6], this situation is detected by the candidacy criterion [step 3) of the algorithm described in Section V-A], which cannot find any vector that is a suitable candidate for extrapolation, and therefore returns an empty set of candidate voltage vect”
- Interleaved Model Predictive Control for Three-Level Neutral-Point-Clamped Dual Three-Phase PMSM Drives With Low Switching Frequencies (2021, methodology): “With the specified hysteresis bounds, the trajectory extrapolation method is utilized to determine which voltage vector candidate set possesses the best performance at the next instant [16], [17].”
- Torque Ripple Reduction in BLDC Torque Motor With Nonideal Back EMF (2012, methodology): “One is to employ direct torque control to regulate current [16]–[19], and the other is to apply the motor’s back EMF waveform functions to regulate the current [20]–[23].”
- Delay Compensation in Model Predictive Current Control of a Three-Phase Inverter (2012, background): “Other interesting applications include torque and flux control in electrical machines [12]–[14], power control in pulsewidth-modulation rectifiers [15], uninterruptible power supplies [16], and direct-current (dc)–dc converters [17].”
- Model-Free Predictive Current Control for Interior Permanent-Magnet Synchronous Motor Drives Based on Current Difference Detection Technique (2014, methodology): “In addition, other predictive control techniques, such as model predictive direct torque control [16], [17], model predictive speed control [18], predictive functional control [19], predictive direct power control [20], predictive torque control [21], [22], and predictive sliding mode control [23], ”
- High-Performance Control Strategies for Electrical Drives: An Experimental Assessment (2012, methodology): “In [29] the same technique is used, but torque and stator flux are controlled.”
- Model Predictive Torque Control of Induction Motor Drives With Optimal Duty Cycle Control (2014, background): “Very quick dynamic response can be obtained in DTC with simple structure [4], [5].”
- Model Predictive Control for PMSM Drives With Variable Dead-Zone Time (2021, background): “Recently, with the rapid development of digital control processor, model predictive control (MPC) has gradually become the research hotspot as an advanced control method [7], [8].”
- Model Predictive Control — Status and Challenges (2013, neutral): “在电力电子领 域内 , 文献 [147] 针对交流电机直接转矩控制提出采 用预测控制方法来降低电子元件的切换频率且保持 输出转矩 , 类似的研究还有文献 [148] 中提出的方 法 .”
- Model Predictive Control for Power Converters and Drives: Advances and Trends (2017, background): “A second approach that achieves long prediction horizon is the extrapolation strategy [30], [122], [123].”