Model-Free Predictive Current Control for Three-Level Inverter-Fed IPMSM With an Improved Current Difference Updating Technique

Yu, Feng; Zhou, Changcong; Liu, Xing; Zhu, Chenguang

doi:10.1109/tec.2021.3069274

Cited by 36 publications

(20 citation statements)

References 21 publications

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“…In this way, if the parameter variations are not considered, not only the steady-state but also the dynamic performance of MPCC will deteriorates substantially. 11 Therefore, it is mandatory to solve the problem of machine parameter dependence. Many observers have been employed to observe and compensate the disturbances caused by parameter changes, such as the disturbance observer, 12 the sliding-mode observer, 13 the Luenberger observer, 14 and so on.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of model‐free predictive current control in three‐phase permanent magnet synchronous motor drives fed by three‐level neutral‐point‐clamped inverters

Zhou

Wang

2022

Circuit Theory & Apps

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This article evaluates the model‐free predictive current control for three‐level inverter‐fed permanent magnet synchronous motor drives based on a full‐update technique of dq‐axes current variations. The proposed method is implemented in three steps. First, the defined feature current variations are calculated relying on the projection relationship between the corresponding voltage vectors and are assigned to obtain the other current variations of the same category to enhance the updating frequency of dq‐axes current variations and the current quality as well. Second, a voltage pre‐selection is conducted in the predictive current control by virtue of the applied voltage vector. In this case, the enumeration of all available vectors is effectively omitted, yielding the reduced computational burden. At last, the unbalanced neutral‐point voltage of three‐level inverter is eliminated to improve the control performance. Experimental and simulated results have been employed to highlight the favorable performance of the proposed control strategy.

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Section: Introductionmentioning

confidence: 99%

Evaluation of model‐free predictive current control in three‐phase permanent magnet synchronous motor drives fed by three‐level neutral‐point‐clamped inverters

Zhou

Wang

2022

Circuit Theory & Apps

Self Cite

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“…To deal with these problems, effective solutions have been proposed. Current harmonics can be suppressed by using higher-order converter topologies, sacrificing computational complexity and cost [10], [11]. However, the two-level voltage source inverter (2L-VSI) topology still remains popular in electric drive systems.…”

Section: Introductionmentioning

confidence: 99%

“…It is clear that these solutions damage the basic structure of traditional PCC. To reduce the computational complexity, simplified PCC strategies have been proposed that reduce the number of candidate switching states [10], [11] or the number of predicted quantities [14]. There are some studies using nonlinear observers such as recursive least squares (RLS) filter [15] and extended Kalman filter (EKF) [16] to overcome the problem of parameter changes.…”

Section: Introductionmentioning

confidence: 99%

“…However, it can be a reasonable option where parameter changes are required. The problem of parameter dependency can be significantly eliminated by using the incremental model [18] or model-free PCC strategies [11], [13], [19], [20]. The main disadvantage of incremental model-based PCC is the necessity of measuring current twice in one sampling period [20].…”

Section: Introductionmentioning

confidence: 99%

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Model-Free Simplified Predictive Current Control of PMSM Drive with Ultra-Local Model-Based EKF

Zerdali

Wheeler

2021

2021 3rd Global Power, Energy and Communication Conference (GPECOM)

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The importance of permanent magnet synchronous machines (PMSMs) is increasing day by day due to trends in the electrification of transportation and the use of wind farms. The predictive current control (PCC) strategy has been widely applied to the control of power converters and electrical machines over the past decade. However, parameter dependency and computational complexity are known disadvantages of the conventional PCC strategy. To deal with the weakness caused by parameter inconsistencies, model-free PCC strategy has been proposed. The simplified PCC strategies have also been applied to reduce computational complexity. In this paper, a modelfree simplified PCC (MF-SPCC) strategy combined with the ultra-local model-based extended Kalman filter (EKF) has been proposed for a PMSM drive. The proposed electric drive system has been verified by simulation studies and finally robust control performance has been achieved under parameter mismatches.

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“…The need for prior knowledge of an accurate model has recently been overcome by a new control paradigm called model-free [17,18]. It is important to stress that the label modelfree still relies on a model for controlling the motor currents, but the current predictions no longer need canonical voltage balance equations.…”

Section: Introductionmentioning

confidence: 99%

Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications

et al. 2021

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Climate changes and the lack of running water across vast territories require the massive use of pumping systems, often powered by solar energy sources. In this context, simple drives with high-efficiency motors can be expected to take hold. It is important to emphasise that simplicity does not necessarily lie in the control algorithm itself, but in the absence of complex manual calibration. These characteristics are met by synchronous reluctance motors provided that the calibration of the current loops is made autonomous. The goal of the present research was the development of a current control algorithm for reluctance synchronous motors that does not require an explicit model of the motor, and that self-calibrates in the first moments of operation without the supervision of a human expert. The results, both simulated and experimental, confirm this ability. The proposed algorithm adapts itself to different motor types, without the need for any initial calibration. The proposed technique is fully within the paradigm of smarter electrical drives, which, similarly to today’s smartphones, offer advanced performance by making any technological complexity transparent to the user.

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Model-Free Predictive Current Control for Three-Level Inverter-Fed IPMSM With an Improved Current Difference Updating Technique

Cited by 36 publications

References 21 publications

Evaluation of model‐free predictive current control in three‐phase permanent magnet synchronous motor drives fed by three‐level neutral‐point‐clamped inverters

Evaluation of model‐free predictive current control in three‐phase permanent magnet synchronous motor drives fed by three‐level neutral‐point‐clamped inverters

Model-Free Simplified Predictive Current Control of PMSM Drive with Ultra-Local Model-Based EKF

Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications

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