2021
DOI: 10.1109/tec.2020.3047981
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A Review of Predictive Control Techniques for Switched Reluctance Machine Drives. Part II: Torque Control, Assessment and Challenges

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Cited by 30 publications
(8 citation statements)
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“…e future of predictive control and intelligent control is very promising. e advantages of PMSM are far from replacing other motors in the current competitive market environment [4].…”
Section: Introductionmentioning
confidence: 99%
“…e future of predictive control and intelligent control is very promising. e advantages of PMSM are far from replacing other motors in the current competitive market environment [4].…”
Section: Introductionmentioning
confidence: 99%
“…Those issues and solutions for the abovementioned control techniques have been discussed in details with many experimental results based on different kinds of machines and drives. However, there are some serious issues for the MPC to be solved in future, which include large computation time, heavy dependence on parameter, slow dynamics, and lack robustness [23]. As the rapid technology evolution of the microcontroller and digital signal processor, the MPC would find more opportunities for the industrial application [22].…”
Section: Introductionmentioning
confidence: 99%
“…Model Predictive Control (MPC) is a novel multi-objective optimal control scheme for nonlinear systems, which uses a predictive model to calculate the value of the motor at the next sampling time [7][8][9]. Reference [10] uses the cost function of MPC to accurately track the reference flux linkage and combines the six basic voltage vectors in the classical DTC to reduce the torque ripple.…”
Section: Introductionmentioning
confidence: 99%