Dealing with Suboptimality in Multistep Model Predictive Control for Transient Operations

Baidya, Roky; Aguilera, Ricardo P.; Καραμανάκος, Πέτρος; Acuna, Pablo; Rojas, Christian A.; Geyer, Tobias; Lu, Dylan Dah-Chuan

doi:10.1109/ecce.2019.8912815

Cited by 10 publications

(6 citation statements)

References 16 publications

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“…To achieve the desired CMV minimization target, the cost function ( 9) is modified match up to [22]. In addition to output reference tracking, the proposed method which is designed to minimize the CMV also tracks the input references.…”

Section: Cost Functionmentioning

confidence: 99%

“…However, in [21] multistep model predictive control (MPC) with CMV minimization target applies to RL load as the case study only. Regarding IM driving system case study, in [22], the multistep MPC controller does not consider CMV minimization target since it is designed toward optimizing the switching effort.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, this paper proposes a modified multistep MPC compared to [22]. To account for CMV, an additional term that penalizes the CMV is added to the cost function before using the SDA algorithm to solve the optimization problem.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modified multistep model predictive control for three-phase induction motor drive system considering the common-mode voltage minimization

Pho

Cao

Hoan

et al. 2021

IJPEDS

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It is acknowledged that the common-mode voltage may have detrimental effects on an induction motor (IM) drive system if not properly addressed. Therefore, in this paper, a modified multistep model predictive control method for IM drive system considering the common-mode voltage minimization is proposed. This research uses a multi-objective cost function, before applying the Sphere Decoding Algorithm to find the optimal control input. The results show that the proposed control method not only reduces the common-mode voltage significantly but also mitigates the computational burden of the microprocessor without affecting the system performance. The proposed control method is simulated by MATLAB-Simulink for an IM drive system with an 11-level cascaded H-bridge inverter.

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Section: Cost Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modified multistep model predictive control for three-phase induction motor drive system considering the common-mode voltage minimization

Pho

Cao

Hoan

et al. 2021

IJPEDS

View full text Add to dashboard Cite

show abstract

“…Therefore, it is important to have a measure of optimality to know the closeness of the sub-optimal solution to the optimal one during transients. As analyzed in [13] and [31], because of the geometry of the optimal control problem under transients and the box constrained QP problem with Convex-Hull, multistep MPC may lead to only a minor loss of optimality. This work explores the cost value for the obtained solution which is indeed a standard metric of optimality (or sub-optimality).…”

Section: : Else 18mentioning

confidence: 99%

“…Finally, by applying the forward Euler discretization to (31), for a sampling time T s , a discrete-time model of the grid- connected power converter, in a form of (1), is obtained with…”

Section: A Discrete-time State-space Modelmentioning

confidence: 99%

Enabling Multistep Model Predictive Control for Transient Operation of Power Converters

Baidya

Aguilera

Acuna

et al. 2020

IEEE Open J. Ind. Electron. Soc.

Self Cite

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Recently, an efficient multistep direct model predictive control (MPC) scheme for power converters has been proposed. It relies on the Sphere Decoding Algorithm (SDA) to solve the associated longhorizon optimal control problem. Since the SDA evaluates only a small number of candidate solutions to find the optimal one, a significant reduction in the average computational burden can be achieved compared to the basic exhaustive search approach. However, this is only true during steady-state operation. In fact, the SDA still requires a large execution time during transients. This paper shows that if not properly addressed, the dynamic performance of the system may be degraded, which clearly limits its practical application. To mitigate this issue, which particularly arises during transients, an efficient preconditioning approach for the SDA is proposed. This approach ensures that only a small number of candidate solutions are evaluated during both steady-state and transients. This allows the multistep direct MPC to become a viable control alternative for power converters operating at low semiconductor switching frequencies, e.g., below 450 Hz. The proposal is validated using a grid-connected three-level converter as a case study. Both processor-in-the-loop simulations and experimental results on a scaled-down 2.24 kVA laboratory setup are presented. INDEX TERMS Model predictive control, Integer least squares problem, Sphere decoding algorithm, Convex hull, Quadratic programming solver, Power converters.

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Model Predictive Control in Multilevel Inverters Part I: Basic Strategy and Performance Improvement

Garcia,

Mora,

Norambuena

et al. 2024

IEEE Open J. Ind. Applicat.

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Dealing with Suboptimality in Multistep Model Predictive Control for Transient Operations

Cited by 10 publications

References 16 publications

Modified multistep model predictive control for three-phase induction motor drive system considering the common-mode voltage minimization

Modified multistep model predictive control for three-phase induction motor drive system considering the common-mode voltage minimization

Enabling Multistep Model Predictive Control for Transient Operation of Power Converters

Model Predictive Control in Multilevel Inverters Part I: Basic Strategy and Performance Improvement

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