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In order to improve the dynamic control performance and robustness of DNN, this paper proposes a hybrid decision control (HDC) strategy based on DNN and DTC.
Jul 28, 2024 · The DNN can learn the MPTC's selective laws from its operation data by training offline and then substitute them for voltage vector selection ...
A hybrid decision control strategy based on DNN and DTC (direct torque control) is further proposed, which can realize four-quadrant operation with a ...
Abstract: To address the issue of poor real-time performance caused by the heavy computational burden of the finite control set model predictive torque ...
Hybrid Decision Based on DNN and DTC for Model Predictive Torque Control of PMSM. Symmetry 2022, 14, 693. https://doi.org/10.3390/sym14040693. AMA Style. Li ...
This paper presents a control scheme suitable for systems composed of a continuous process modulated in energy by a power converter with a finite number of ...
Missing: DNN | Show results with:DNN
Nov 28, 2023 · An innovative control strategy is introduced in this paper for model predictive direct torque control (MPDTC) of a permanent magnet synchronous motor (PMSM) ...
Missing: DNN | Show results with:DNN
Jul 28, 2022 · This paper proposes a novel Fuzzy-MPDTC control applied to a fuel cell battery electric vehicle whose traction is ensured using a permanent magnet synchronous ...
Missing: Decision DNN
There are many benefits to using a DTC-controlled PMSM drive, including quick and reliable torque reaction, high-performance control speed, and enhanced ...
Nov 11, 2023 · This research is based on torque controlling strategies in hybrid electric vehicle. The traction motor of a hybrid electric commercial vehicle must have a high ...