Novel Analytical Weighting Factor Tuning Strategy Based on State Normalization and Variable Sensitivity Balance for PMSM FCS-MPTC

Gong, Chao; Hu, Yihua; Ma, Mingyao; Gao, Jinqiu; Shen, Ke

doi:10.1109/tmech.2020.2978983

Cited by 28 publications

(12 citation statements)

References 20 publications

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“…Now, let us define the total cost function using the proposed approach. The proposed equal-weighted cost function method can be applied by replacing the sub-terms in (25) and ( 26) into (8) as follows:…”

Section: Case Study: Design Of the Proposed Approach For Mpc Of Singl...mentioning

confidence: 99%

“…Analytical and self-tuning methods have also emerged for auto-tuning weighting factors [22][23][24][25]. In [22], an auto-tuning approach is proposed for power electronics interfaces.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, the adoption of these auto-tuning methods to various converter topologies is not easy and straightforward. On the other hand, the methods in [24][25][26] are based on fixed rated values (voltages, currents, torque etc.) of the converter.…”

Section: Introductionmentioning

confidence: 99%

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Equal weighted cost function based weighting factor tuning method for model predictive control in power converters

Güler

Bayhan

Kömürcügil

2021

IET Power Electronics

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An equal-weighted cost function-based weighting factor tuning method for model predictive control (MPC) in power converters is presented here. In conventional MPC methods developed for power converters, the use of weighting factors is a necessity to determine the importance of sub-terms in multi-objective cost functions. The proposed method is based on equalizing the importance of cost terms by using normalized values rather than the actual values. As a consequence of normalized values, all sub-terms are transformed into a similar range independent from their actual values. Hence, the weights of cost terms are equalized, leading to the elimination of weighting factor tuning necessity. The proposed equal-weighted cost function not only offers simplicity in the MPC design but also guarantees the desired controller performance with the dynamically weighted sub-terms. The proposed control method is validated on a grid-connected single-phase three-level T-type inverter. Experimental results are carried out to demonstrate the effectiveness of the proposed method under steady-state and dynamic conditions. Moreover, the comparative results with the conventional MPC are presented. The results reveal that the proposed approach exhibits excellent performance against the variations in the operating point of the inverter.

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Section: Case Study: Design Of the Proposed Approach For Mpc Of Singl...mentioning

confidence: 99%

“…Analytical and self-tuning methods have also emerged for auto-tuning weighting factors [22][23][24][25]. In [22], an auto-tuning approach is proposed for power electronics interfaces.…”

Section: Introductionmentioning

confidence: 99%

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Equal weighted cost function based weighting factor tuning method for model predictive control in power converters

Güler

Bayhan

Kömürcügil

2021

IET Power Electronics

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“…Since all calculations required to accurately determine the optimal weighting factor are done online, these techniques generally increase the computational burden of the predictive control process. Methods employed in the literature include: tracking error optimization [7], [28], [29], [66]- [68], torque ripple optimization [69], [70], coefficient of variation [71], state normalization/variable sensitivity balance [72], look-up table [73], [74], grey relational analysis [75] and continuous function of pre-existing error [76]. To facilitate the optimal weight factor calculation for predictive torque and flux control in particular, algebraic methods are presented in [69], [77], and these are not computationallyintensive.…”

Section: B Non-ai-based Online Optimizationmentioning

confidence: 99%

A Comparative Study on Weighting Factor Design Techniques for the Model Predictive Control of Power Electronics and Energy Conversion Systems

Babayomi¹,

Zhang²,

Yu³

et al. 2021

Preprint

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During the past decade, the model predictive control (MPC) of power electronics and drives has witnessed significant advancements in both dynamic performance and range of applications. However, researchers still encounter challenges with the optimal design of weighting factors, and this lowers the capabilities derivable from MPC. This study first reviews the different weighting factor design techniques proposed in the literature for power electronics and electrical drives (applied to wind/solar energy conversion, microgrids, grid-connected converters and other high performance converter-based systems). They are grouped under heuristic, offline tuning, sequential, and online optimization methods. Next, the study provides real-time hardware-in-the-loop comparative results for the implementation of four weighting factor design techniques on a grid-connected two-level back-to-back power converter-based permanent magnet synchronous generator wind turbine system. Through these laboratory results, the advantages and limitations of the different weighting factor design methods are highlighted.

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“…λ 1 and λ 2 are weighting factors to adjust the relative importance of each term versus the others. Several methods have been reported in literature for tuning the weighting factors [32][33][34][35][36] . The cost-function classification method will be used in this paper due to its simplicity [32] .…”

Section:    ˆ1mentioning

confidence: 99%

Si/SiC hybrid 5-level active NPC inverter for electric aircraft propulsion drive applications

Fard

Abarzadeh

Noghani

et al. 2020

Chin. J. Electr. Eng.

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Novel Analytical Weighting Factor Tuning Strategy Based on State Normalization and Variable Sensitivity Balance for PMSM FCS-MPTC

Cited by 28 publications

References 20 publications

Equal weighted cost function based weighting factor tuning method for model predictive control in power converters

Equal weighted cost function based weighting factor tuning method for model predictive control in power converters

A Comparative Study on Weighting Factor Design Techniques for the Model Predictive Control of Power Electronics and Energy Conversion Systems

Si/SiC hybrid 5-level active NPC inverter for electric aircraft propulsion drive applications

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