A Review of Predictive Control Techniques for Switched Reluctance Machine Drives. Part I: Fundamentals and Current Control

Valencia, Diego F.; Tarvirdilu-Asl, Rasul; Garcia, Cristian; Rodríguez, José; Emadi, Ali

doi:10.1109/tec.2020.3047983

Cited by 56 publications

(13 citation statements)

References 63 publications

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“…According to Equations ( 1), ( 3), ( 4), and ( 6), the discrete prediction model of the SRM can be obtained, as shown in the following Equation (7).…”

Section: Predictive Model and Cost Functionmentioning

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%

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Torque Compensation Method of Switched Reluctance Motor Adopting MPC Based on TSF-Ditc

Yang¹,

Xu²,

Li³

et al. 2022

PIER M

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“…According to Equations ( 1), ( 3), ( 4), and ( 6), the discrete prediction model of the SRM can be obtained, as shown in the following Equation (7).…”

Section: Predictive Model and Cost Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Torque Compensation Method of Switched Reluctance Motor Adopting MPC Based on TSF-Ditc

Yang¹,

Xu²,

Li³

et al. 2022

PIER M

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“…The FCS-MPC uses the equivalent discrete-time model of the system to predict the future behavior of the controlled variables, such as current, flux, or torque. The optimal solution for a predictive controller obtains by solving a constrained finitehorizon optimization control problem via the cost function [17]. However, FCS-MPC relies on the accurate representation of the system model.…”

Section: Abbreviationsmentioning

confidence: 99%

Hybrid Switching of Four-Voltage-Vector Model-Free Predictive Current Control for Four-Switch Three-Phase Inverter-Fed SynRM Drive Systems

Lin

Agustin

2022

IEEE Open J. Ind. Electron. Soc.

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Conventional model-based predictive current control (MBPCC) suffers from common drawbacks of high reliance on system model parameters and the use of a single input voltage vector that result in large pulsating current ripples and prediction errors. In the case of a four-switch three-phase inverter (FSTPI) topology, the implementation of the predictive controller is exacerbated due to limited numbers of candidate voltage vectors. This paper presents an integrated model-free predictive current control with a hybrid switching mechanism to solve the problem. The proposed method introduces the combined switching mechanism of input voltage vectors with fixed and variable modulations by increasing the number of switching voltage vectors. The four basic voltage vectors generated in the four-switch three-phase inverter create twenty-four new synthesized voltage vectors through fourfold linear expansions of the space vector plane. The switching durations of input voltage vectors are determined by calculating their optimal duty ratios. As a result, the proposed method improved the prediction accuracy by increasing the iteration calculations of current differences every sampling period. The proposed method, known as the hybrid switching of four-voltage-vector model-free predictive current control (HS-4VV-MFPCC), is practically tested via simulation and experimental works to evaluate its effectiveness and performance improvement.

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“…Due to the varying phase inductance and magnetic saturation effects, an adequate current controller is necessary in order to achieve proper current reference tracking. Poor tracking can lead to increased torque ripple as well as acoustic noise production [30].…”

Section: Introductionmentioning

confidence: 99%

Advanced Control of Switched Reluctance Motors (SRMs): A Review on Current Regulation, Torque Control and Vibration Suppression

Fang

Scalcon

Xiao

et al. 2021

IEEE Open J. Ind. Electron. Soc.

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113

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With the increasing environmental concerns, a paradigm shift towards electric and hybrid electric vehicles is expected. Switched Reluctance Motors (SRMs) have emerged as a viable competitor to other established electrical machines. SRMs are known for their simple construction, robustness, inherent fault tolerant structure and low production and maintenance costs. Moreover, the machine has gained interest due to the absence of permanent magnets or windings in the rotor structure, which significantly reduces production costs when compared to other electric motors. The SRM, however, present some known drawbacks, such as increased torque ripple and acoustic noise production, as well as a highly nonlinear behavior. Through the use of adequate control strategies, however, the main challenges of the machine can be overcome. Thus, this paper presents a state-of-the-art review of the advanced control of SRMs, encompassing current regulation strategies, torque control strategies and vibration suppression techniques. First, two-categories of current controllers are reviewed: model-independent and model-based. Next, indirect and direct torque control methods are explored. Then, three approaches to vibration suppression are discussed, namely active cancellation, current profiling and direct instantaneous force control. Lastly, a summary of each topic is presented and suggestions of future research topics are listed.

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A Review of Predictive Control Techniques for Switched Reluctance Machine Drives. Part I: Fundamentals and Current Control

Cited by 56 publications

References 63 publications

Torque Compensation Method of Switched Reluctance Motor Adopting MPC Based on TSF-Ditc

Torque Compensation Method of Switched Reluctance Motor Adopting MPC Based on TSF-Ditc

Hybrid Switching of Four-Voltage-Vector Model-Free Predictive Current Control for Four-Switch Three-Phase Inverter-Fed SynRM Drive Systems

Advanced Control of Switched Reluctance Motors (SRMs): A Review on Current Regulation, Torque Control and Vibration Suppression

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