High-Performance Control Strategies for Electrical Drives: An Experimental Assessment

By José Raúl Rodríguez Rodríguez, Ralph M. Kennel, José R. Espinoza, Mauricio Trincado, César A. Silva, Christian A. Rojas. IEEE transactions on industrial electronics (1982. Print), 2012

463 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/451b277b344d2140efab56566bffce01d05ac976

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In Control and Systems Engineering

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Citations in the corpus

Model Predictive Torque Control of Induction Motor Drives With Optimal Duty Cycle Control (2014, background): “However, currently the selection of weighting factor is still an open problem and usually determined by a heuristic procedure [17], [20].”
Guidelines for the Design of Finite Control Set Model Predictive Controllers (2020, background): “, in [41], [ 47], [48], is a questionable practice.”
Algebraic Tuning Guidelines for Model Predictive Torque and Flux Control (2018, methodology): “The controller tracks the references of the electromagnetic torque T ∗ e and stator flux magnitude Ψ ∗ s by manipulating the three-phase switch position u ∈ {−1, 0, 1}3 [9].”
State of the Art of Finite Control Set Model Predictive Control in Power Electronics (2013, methodology): “The vector that minimizes this cost function is selected and applied in the next sampling time [36], [95].”
Finite-Control-Set Model Predictive Torque Control With a Deadbeat Solution for PMSM Drives (2015, unknown): “The system is verified as having comparable performance with the field-oriented control method [3].”
Latest Advances of Model Predictive Control in Electrical Drives—Part II: Applications and Benchmarking With Classical Control Methods (2021, background): “From the theoretical point of view [118]–[120], the comparison of FOC, DTC, and MPTC (see the Fig.”
Predictive Torque and Flux Control Without Weighting Factors (2013, methodology): “The torque and the flux errors are included in one cost function through the use of weighting factors [17], [26], [27].”