Finite-Set Model Predictive Control Scheme With an Optimal Switching Voltage Vector Technique for High-Performance IPMSM Drive Applications

Mwasilu, Francis; Kim, Min Jung; Rafaq, Muhammad Saad; Jung, Jin‐Woo

doi:10.1109/tii.2017.2787639

Cited by 31 publications

(12 citation statements)

References 29 publications

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“…Calculate future reference current at t = ((k+1)+ ) in (18) Calculate future current at t = ((k+1)+ ) in (19) Calculate and in (21) and (22)…”

Section: One-step Lagrange Extrapolationmentioning

confidence: 99%

“…A cost function with respect to the error term between the predicted current and reference current is used to evaluate all predicted current values obtained by possible switching states to select one optimal switching state with the smallest cost value [16][17][18][19]. The optimal switching state is applied to the VSIs in one sampling period [20,21]. The conception of using two vectors has also recently been applied in the MPC for the torque control and flux control to reduce torque and flux ripples and the PWM rectifier to reduce power ripples [22].…”

Section: Introductionmentioning

confidence: 99%

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Model Predictive Current Control Method with Improved Performances for Three-Phase Voltage Source Inverters

2019

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In this paper, the model predictive current control (MPCC) method using two vectors has been proposed to control output currents of three-phase voltage source inverters (VSIs) with small current errors and current ripples. Also, the proposed method can reduce switching losses by applying the vector pre-selection technique to the MPCC for the VSI. The VSI generates seven voltage vectors to control the output currents, but the proposed method uses four available voltage vectors with one switch, which are classified by the vector pre-selection method clamping one leg and conducting the largest output current among the three legs to reduce the switching losses. In the proposed method, selecting two future voltage vectors among the four voltage vectors and dividing them in a future sampling period are determined by an optimization process. The proposed method results in the lower total loss, better total harmonic distortion (THD), and smaller current errors than the conventional method with half the sampling period of the proposed method due to the optimal process. Simulation and experimental results of the three-phase VSIs are presented in order to verify the effectiveness of the proposed method.

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“…Calculate future reference current at t = ((k+1)+ ) in (18) Calculate future current at t = ((k+1)+ ) in (19) Calculate and in (21) and (22)…”

Section: One-step Lagrange Extrapolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model Predictive Current Control Method with Improved Performances for Three-Phase Voltage Source Inverters

2019

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“…The MPC system is classified into the continuous‐control set (CCS‐MPC) and FCS‐MPC. Due to the discrete nature of power switches, FCS‐MPC has been successfully applied to control various plants such as linear induction machines, 15 interior permanent‐magnet synchronous motors, 16 control of converter‐based stand‐alone DC distribution networks fed by PV units, 17 doubly fed induction generator‐based wind turbines, 18,19 and energy management and control of PV‐based DC microgrid 20 . Therefore, this paper proposes a FCS MPC for the GSC in AWS‐based WPGS.…”

Section: Introductionmentioning

confidence: 99%

Model predictive control of direct‐drive wave power generation system connected to DC microgrid through DC cable

Adaryani

Taher

Guerrero

2020

Int Trans Electr Energ Syst

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Wave energy is a renewable energy with a high density. There are different types of wave power generation systems (WPGSs), including Archimedes wave swing (AWS) coupled to a linear permanent magnet synchronous generator. This study proposes a model predictive control (MPC) for AWS‐based WPGS. The predictive current controller is implemented in a generator‐side converter as a substation for proportional integral (PI) controllers with pulse‐width modulation (PWM). Also, a supercapacitor energy storage system with bidirectional DC/DC converter is proposed to maintain DC link voltage stability. A DC/DC converter is used to keep DC microgrid bus voltage at the desired value. The effectiveness of the proposed MPC method is tested at various operating conditions and compared with conventional PI controllers with PWM in the MATLAB/SIMULINK environment.

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“…There are also many control strategies for power management. In [20], this paper investigates a high-performance finite set model predictive control (FS-MPC) based on an optimal switching voltage vector technique for voltage source inverter (VSI)-fed interior permanent magnet synchronous motor (IPMSM) drives, the proposed scheme can obtain an optimal switching state with reduced switching losses and low computational cost without incorporating any additional parameters or constraints in the cost function. Zhang et al considered the finite set model predictive control scheme with an optimal switching voltage vector technique for high-performance ipmsm drive applications [21] .…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Design of Generator Systems for Marine Current Turbine Applications Using Economic Model Predictive Control

Teng

2020

IEEE Access

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Finite-Set Model Predictive Control Scheme With an Optimal Switching Voltage Vector Technique for High-Performance IPMSM Drive Applications

Cited by 31 publications

References 29 publications

Model Predictive Current Control Method with Improved Performances for Three-Phase Voltage Source Inverters

Model Predictive Current Control Method with Improved Performances for Three-Phase Voltage Source Inverters

Model predictive control of direct‐drive wave power generation system connected to DC microgrid through DC cable

Optimal Control Design of Generator Systems for Marine Current Turbine Applications Using Economic Model Predictive Control

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