Recent Advances in Multi-Phase Electric Drives Model Predictive Control in Renewable Energy Application: A State-of-the-Art Review

Xue, Zhiwei; Niu, Shuangxia; Chau, Aten Man Ho; Luo, Yixiao; Lin, Hongjian; Li, Xianglin

doi:10.3390/wevj14020044

Cited by 5 publications

(4 citation statements)

References 185 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the stator flux is the main control purpose in MPFC, the cost function is described as the difference between its reference and predicted values. Compared to (8), the cost function in (21) does not include a weighting factor.…”

Section: B Weighting Factor Elimination Methodsmentioning

confidence: 99%

“…Despite the mentioned advantages of MPC, some challenges have been reported in the literature regarding weighting factor (WF) design, parameter dependency, current/torque harmonics, variable switching frequency, and computational complexity [8], [9]. Many effective solutions to these problems have been reported in the literature, but researchers are still seeking to find more effective solutions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Review on Weighting Factor Design of Finite Control Set Model Predictive Control Strategies for AC Electric Drives

Zerdali,

Rivera,

Wheeler

2024

IEEE Trans. Power Electron.

View full text Add to dashboard Cite

Model predictive control (MPC) has been widely applied to AC electric drives over the last decade. Despite extreme efforts and proposed effective solutions, the researchers are still seeking to find more effective solutions for weighting factor (WF) design, parameter dependency, current/torque harmonics, variable switching frequency, and computational complexity. This paper presents a review of the WF design techniques of MPC strategies for AC electric drives. Thus, it aims to inform readers about the proposed techniques for WF design of MPC strategies and to accelerate their future research in this promising area.

show abstract

Section: B Weighting Factor Elimination Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Review on Weighting Factor Design of Finite Control Set Model Predictive Control Strategies for AC Electric Drives

Zerdali,

Rivera,

Wheeler

2024

IEEE Trans. Power Electron.

View full text Add to dashboard Cite

show abstract

“…Regardless of the selected family of controllers, it can be concluded that the last decade has witnessed success, where a high number of more competitive control techniques have been developed in diverse application fields such as renewable energy application [34] or electrical propulsion [35,36]. The most popular procedure in the field of electric drives to illustrate the goodness of an original proposal of the state of the art is an experimental comparison using a benchmark method as a basis for the verification [23][24][25][26][27][28][29][30][31][32][33]37,38].…”

Section: Introductionmentioning

confidence: 99%

Guiding the Selection of Multi-Vector Model Predictive Control Techniques for Multiphase Drives

Aciego,

Gonzalez-Prieto,

Duran

et al. 2024

Machines

View full text Add to dashboard Cite

A diverse group of so-called multi-vector techniques has recently appeared to enhance the control performance of multiphase drives when a direct control strategy is implemented. With different numbers of switching states and approaches for estimating the application times, each multi-vector solution has its own nature and merits. Previous studies have individually tested each version of the proposed finite-control-set model predictive control (FCS-MPC) strategies using a single experimental setup with specific parameters and, in some cases, using a limited range of operating conditions and focusing exclusively on some control aspects. Although such works provide partial contributions, the control performance is highly affected by the test and rig conditions, being dependent on the machine parameters, the switching frequency and the range of operation. Consequently, it becomes difficult to extract some universal conclusions that guide the control designer on the best alternative for each application. Aiming to enrich the knowledge in this field and provide a broader picture, this work performs a global analysis with different multi-vector techniques, various machine parameters, multiple operating points and a complete set of indices. Experimental results confirm that the selection of the most adequate control strategy is not a trivial task because the degree to which multi-vector techniques are affected by the test conditions is variable and complex. Some tables with a qualitative analysis, based on the extensive empirical tests, contribute with a more complete insight and guide eventual control designers on the decision about the optimal regulation approach to be chosen.

show abstract

“…In the realm of multi-phase drives, Finite State Model Predictive Stator Current Control (FSMPSCC) is arguably the most popular technique [3]. It easily allows treating the extra number of phases considering torque production, losses and other factors pertinent for different applications [4].…”

Section: Introductionmentioning

confidence: 99%

Online Adaptive Set of Virtual Voltage Vectors for Stator Current Regulation of a Six-Phase Induction Machine Using Finite State Model Predictive Controllers

et al. 2023

View full text Add to dashboard Cite

Virtual voltage vectors (VVV) have been used for the control of multi-phase induction machines, where different sub-spaces appear related to the torque production and losses generation. In the literature, several sets of VVV have been used, aiming at reducing harmonic content while maintaining a low computational burden. This paper proposes the use of different sets of VVV to regulate the stator current of multi-phase drives using finite-state model predictive controllers. In the proposal, only one set is active at each control period. This active set is obtained through a preliminary analysis using performance maps. As a result, a method is derived for the online selection using the current operating point. The selection is based on a simple computation from variables usually measured on variable-speed drives. Results are provided for a symmetrical six-phase IM, showing that the proposal improves the closed-loop performance of the multi-phase drive with a low computational cost.

show abstract

Recent Advances in Multi-Phase Electric Drives Model Predictive Control in Renewable Energy Application: A State-of-the-Art Review

Cited by 5 publications

References 185 publications

A Review on Weighting Factor Design of Finite Control Set Model Predictive Control Strategies for AC Electric Drives

A Review on Weighting Factor Design of Finite Control Set Model Predictive Control Strategies for AC Electric Drives

Guiding the Selection of Multi-Vector Model Predictive Control Techniques for Multiphase Drives

Online Adaptive Set of Virtual Voltage Vectors for Stator Current Regulation of a Six-Phase Induction Machine Using Finite State Model Predictive Controllers

Contact Info

Product

Resources

About