Results 31 to 40 of about 21,264 (254)
IEEE Open Journal of Industry Applications, 2021 Finite control set model predictive control (FCS-MPC) has been widely studied and applied to the power converters and motor drives. It provides the power electronics system with fast dynamic response, nonlinear system formulation, and flexible objectives
Luocheng Wang, Tiefu Zhao, Jiangbiao He
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IEEE Access, 2020 This paper develops a high-performance finite control set model predictive current control (FCS-MPCC) method for induction motors (IM) to ensure the system control performance over the low-switching-frequency (LSF) range, where the switching loss is low.
Tan Wang, Yihua Hu, Zuyu Wu, Kai Ni
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Energies, 2018 Inverters are commonly controlled to generate AC current and Total Harmonic Distortion (THD) is the core index in judging the control effect. In this paper, a THD oriented Finite Control Set Model Predictive Control (FCS MPC) scheme is proposed for the ...
Po Li, Ruiyu Li, Haifeng Feng
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Simple Finite-Control-Set Model Predictive Control of Grid-Forming Inverters With LCL Filters
IEEE Access, 2020 Grid-forming inverters (GFI) play an important role as power interfaces for distributed generation units in islanded microgrids, where inductive-capacitive-inductive (LCL) output filters are commonly employed to mitigate the harmonics injected by voltage-
Hector A. Young +3 more
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Speed Finite Control Set Model Predictive Control of a PMSM Fed by Matrix Converter [PDF]
IEEE Transactions on Industrial Electronics, 2015 This paper presents a new speed Finite Control Set Model Predictive Control (FCS-MPC) algorithm which has been applied to a Permanent Magnet Synchronous Motor (PMSM) driven by a Matrix Converter (MC). This method replaces the classical cascaded control scheme with a single control law that controls the motor currents and speed.
Andrea Formentini +4 more
openaire +3 more sources
Complexity, 2021 Photovoltaic (PV) power generation is the main aspect of new energy power generation, and it is an important means to achieve the goal of carbon neutrality. When the PV system is connected to the grid, the nonlinear load of the grid will affect the power
Xuejiao Gong, Shifeng Hu, Ruijin Zhu
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Overview of Predictive Control Technology for Permanent Magnet Synchronous Motor Systems
Applied Sciences, 2023 Permanent magnet synchronous motors (PMSMs) are commonly used in the automation industry. With the speedy development of digital system processors, predictive control as a modern control scheme has been applied to improve the dynamic performance and work
Jingyao Peng, Ming Yao
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电力工程技术Permanent magnet synchronous motor (PMSM) has been widely used in industry due to the advantages of high efficiency, high power density and high reliability.
LIU Xing +4 more
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
CES Transactions on Electrical Machines and Systems, 2018 This paper presents an improved finite control set model predictive current control (FCS-MPCC) of a five-phase permanent magnet synchronous motor (PMSM).
Wusen Wang +3 more
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