Design of Search Space for Improving the Steady Current Control Performance of PMSM Current Control System based on Model Predictive Control

Shimaoka, Masahiro; Doki, Shinji

doi:10.1541/ieejias.140.468

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…In order to realize this, many current control techniques have been proposed such as proportional-integral (PI) control, hysteresis current control, sliding mode control (SMC), artificial neural network (ANN)-based control, 4,5 and model predictive control (MPC). [6][7][8][9] Hysteresis current control stands out for its straightforward implementation, commendable current tracking, and robust nature. Yet, it suffers from an unstable switching frequency and high current ripple, impacting motor control efficacy.…”

Section: Introductionmentioning

confidence: 99%

“…8 With the rapid development of semiconductor technology in the recent years, the MPC has been widely adopted in many electric drive applications. 9 MPC, which is rooted in the idea of leveraging the model of the system to predict the future behavior and make real-time decisions, has exhibited distinct advantages over traditional control techniques due to its clear concept, simple structure, and fast dynamic performance. [10][11][12] With the adoption of MPC in electric drive applications, several variations have been explored to optimize its performance for specific scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…The stator current directly influences the torque production in PMSM, and their precise control becomes paramount to ensure desired torque performance and fast dynamic response. In order to realize this, many current control techniques have been proposed such as proportional‐integral (PI) control, hysteresis current control, sliding mode control (SMC), artificial neural network (ANN)‐based control, 4,5 and model predictive control (MPC) 6–9 . Hysteresis current control stands out for its straightforward implementation, commendable current tracking, and robust nature.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced deadbeat predictive current control with novel generalized space vector modulation for five‐level inverter fed permanent magnet synchronous motor drive with reduced torque ripples and less computational burden

Isradani,

Ramesh

2024

Circuit Theory & Apps

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SummaryTraditional electric drive control methodologies, such as field oriented control (FOC) and direct torque and flux control (DTFC), predominantly rely on multiple proportional‐integral (PI) controllers that demand complex tuning. While model predictive current control (MPCC) omits PI controllers, it has inherent challenges including high computational burden and tempered dynamics. Although two‐level inverters (2LI) are prevalent in many applications, their performance wanes in high‐power applications like high performance industrial drives and marine propulsions. Multilevel inverters (MLIs) are more efficient, but combined with space vector modulation (SVM), they add computational complexity, particularly at higher levels, limiting drive sampling frequencies and causing torque ripples and harmonics, affecting performance. To address the above drawbacks, this manuscript presents a deadbeat predictive current control of five‐level inverter fed permanent magnet synchronous motor (PMSM) drive with a novel generalized SVM algorithm with reduced computational burden and improved performance. The proposed method is validated through MATLAB/Simulink‐based simulation study and experimental implementation. The results are presented and discussed. The results are compared with DTFC and MPCC where it is observed that the proposed method offers superior performance with reduced computational burden and streamlined implementation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Enhanced deadbeat predictive current control with novel generalized space vector modulation for five‐level inverter fed permanent magnet synchronous motor drive with reduced torque ripples and less computational burden

Isradani,

Ramesh

2024

Circuit Theory & Apps

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“…In ref. [24], multiple operating points between control sampling times are introduced in the FCS-MPC scheme, with experimental results exhibiting a good steady-state performance. The suitable search space is investigated to avoid a significant increment of computational cost; however, the calculation effort increases with the size of the search region for optimisation.…”

Section: Introductionmentioning

confidence: 99%

Model predictive current control with a finite set of novel voltages and modulator in permanent magnet synchronous motor drives

Kawai

Cordier

Kennel

et al. 2023

IET Electric Power Appl

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Finite control set model predictive control (FCS–MPC) has been deployed extensively in electric motor drives and power electronics applications. Many advantages, including fast transient response, have been reported. However, the improvement of its steady‐state performance, that is, suppression of current ripple, is one of the main problems of a conventional FCS–MPC strategy. This article presents a current control strategy based on FCS–MPC using the concept of variable voltage smoothing. In the proposed method, a finite set of novel voltage vectors, produced by the smoothing process, are introduced as candidate control input candidates, and the controller generates the optimum output voltage using a modulator integrated with the FCS–MPC scheme. Thus, the voltage candidates are generated flexibly, and a suitable voltage for acceptable steady‐state performance is determined as the control input. In addition, the smoothness in the proposed concept can be updated automatically depending on the drive situation, that is, transient, or steady‐state operation, thus avoiding degradation of dynamic performance. Simulation and experimental results obtained with a permanent magnet synchronous motor drive system demonstrate that the proposed control strategy is effective to achieve current control with fast tracking performance while suppressing current ripple.

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Model Predictive Current Control of PMSM drives for Achieving both Fast Transient Response and Ripple Suppression

Kawai

Cordier

Kennel

et al. 2021

IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society

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Design of Search Space for Improving the Steady Current Control Performance of PMSM Current Control System based on Model Predictive Control

Cited by 9 publications

References 4 publications

Enhanced deadbeat predictive current control with novel generalized space vector modulation for five‐level inverter fed permanent magnet synchronous motor drive with reduced torque ripples and less computational burden

Enhanced deadbeat predictive current control with novel generalized space vector modulation for five‐level inverter fed permanent magnet synchronous motor drive with reduced torque ripples and less computational burden

Model predictive current control with a finite set of novel voltages and modulator in permanent magnet synchronous motor drives

Model Predictive Current Control of PMSM drives for Achieving both Fast Transient Response and Ripple Suppression

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