2023
DOI: 10.1109/tie.2022.3229341
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Model Predictive Control of Switched Reluctance Machines for Suppressing Torque and Source Current Ripples Under Bus Voltage Fluctuation

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Cited by 16 publications
(2 citation statements)
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“…To solve this issue, by carefully looking at (4), it can be seen that speed is a direct consequence of the currents in each control period, and integral can make this relationship more pronounced. Take definite integral of (4) between tk and tk+1 and the predicting model for speed estimation is [21], [22]: where ωm(k) and ωm(k+1) are current and future speed information, respectively. Tl(k) is load.…”
Section: Proposed Mpscmentioning
confidence: 99%
“…To solve this issue, by carefully looking at (4), it can be seen that speed is a direct consequence of the currents in each control period, and integral can make this relationship more pronounced. Take definite integral of (4) between tk and tk+1 and the predicting model for speed estimation is [21], [22]: where ωm(k) and ωm(k+1) are current and future speed information, respectively. Tl(k) is load.…”
Section: Proposed Mpscmentioning
confidence: 99%
“…In [147], an innovative model prediction technique is introduced to simultaneously suppress the torque ripple and source current ripple. Leveraging the data, the machine's torque and inverter current under all conceivable switch states are predicted, culminating in the formulation of a cost function.…”
Section: Other Predictive Control Applicationsmentioning
confidence: 99%