Predictive Torque and Flux Control Without Weighting Factors
By Christian A. Rojas, José Raúl Rodríguez Rodríguez, Felipe A. Villarroel, José R. Espinoza, César A. Silva, Mauricio Trincado. IEEE transactions on industrial electronics (1982. Print), 2013
400 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/b757317a61415bbcdb349cf5df31a0ef7e8e3671
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
- Yongchang Zhang
- Ralph M. Kennel
- Xiaoguang Zhang
- Christian A. Rojas
- José R. Espinoza
- Haitham Abu-Rub
In Electrical and Electronic Engineering
- Tobias Geyer
- Yongchang Zhang
- José Raúl Rodríguez Rodríguez
- Haitham Abu-Rub
- Ralph M. Kennel
- Xiaoguang Zhang
- José R. Espinoza
- Christian A. Rojas
Citations in the corpus
- 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], ”
- State of the Art of Finite Control Set Model Predictive Control in Power Electronics (2013, background): “multiple attribute nature of the selection is retained, resulting in a multi-objective formulation and optimization [84], [101].”
- Model Predictive Current Control for PMSM Drives With Parameter Robustness Improvement (2019, methodology): “In the predictive torque control, in order to eliminate the influence of weighting factor on the control performance and solve the problem of lack of theoretical design procedure, some solutions have been proposed, such as multiobjective ranking method [20], fuzzy decision-making strategy [21], empi”
- Algebraic Tuning Guidelines for Model Predictive Torque and Flux Control (2018, background): “By ranking the magnitude of each cost function term and then taking the minimum of their average value, the weights can be avoided altogether [12].”
- A Comparison of Finite Control Set and Continuous Control Set Model Predictive Control Schemes for Speed Control of Induction Motors (2018, background): “outer loop for tracking the speed reference [5]–[7], in which the gains of the PI controllers have to be modified at each operational circumstance.”
- Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods (2015, background): “The design of the weighting factor in the cost function can be found in [11] and [12].”