Finite Control Set MPC vs Continuous Control Set MPC Performance Comparison for Synchronous Buck Converter Control in Energy Storage Application

Garayalde, Erik; Aizpuru, Iosu; Iraola, Unai; Sanz, Iván; Bernal, Carlos; Oyarbide, E.

doi:10.1109/iccep.2019.8890127

Cited by 14 publications

(12 citation statements)

References 4 publications

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“…For the FCS‐MPC controller, the non‐fixed switching frequency may not be a desired feature. However, it can be solved by introducing in the cost function an additional term that penalises the frequency deviation, however, it suppress the switching frequency [28]. Therefore, to obtain the same switching frequency of the power switches, the sample frequency of the FCS‐MPC controller is set as T s2 = 2 × 10 −5 s. Also, the prediction horizon and the control horizon are set as 2 for the FCS‐MPC controller.…”

Section: Resultsmentioning

confidence: 99%

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Continuous model predictive control of interleaved boost converter with current compensation

Zhao

Liang

et al. 2020

IET power electron.

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An interleaved DC–DC boost converter is widely used in DC power systems such as fuel cell systems or other systems requiring high‐power quality for increasing and stabilising the output voltage. The performance of the converter can be affected by the control strategy. In this study, a robustness continuous control set model predictive control (CCS‐MPC) for an interleaved DC–DC boost converter is proposed to achieve optimised transient dynamics and steady performance. To deal with unknown load variation and systems uncertainties, an extended Kalman observer is designed to estimate the lumped disturbance, including the load variation and unmodelled part. Based on the disturbance estimation, a dynamic current reference with the disturbance and the integrated voltage error is formulated for the optimal voltage tracking. Also, a prediction‐accuracy‐enhanced CCS‐MPC for a wide range of operation points and multi‐parameter disturbance is obtained. The proposed approach could stabilise the output voltage with good robustness under external disturbance and operation point change. Compared with other existing controllers, i.e. a proportional–integral controller, a sliding mode controller, and a finite control set model predictive controller, both the steady and transient performances are validated by a simulation and experimental test bench.

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Section: Resultsmentioning

confidence: 99%

“…The longer horizon the greater the precision in the search for the optimal duty cycle. As the horizon increases, the response speed of the converter increases as well [28]. A longer horizon provides good accuracy but a computation burden to the microprocessor.…”

Section: Controller Designmentioning

confidence: 99%

Continuous model predictive control of interleaved boost converter with current compensation

Zhao

Liang

et al. 2020

IET power electron.

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“…The optimization problem is solved on the basis of the specified cost function in order to determine the best sequence of the control signal. Different MPC concepts can be found in the literature [5,[9][10][11][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]. The algorithm can be divided, taking into account the prediction horizon length.…”

Section: Introductionmentioning

confidence: 99%

“…This allows to minimize the complexity of the calculations in the algorithm, yet at the same time the dynamics of the plant could be worse, especially in the presence of the constraints. However, according to the review of the literature, this approach is commonly used in the domain of power electronics and drive control, particularly of current and torque control [5,[8][9][10][11][12]18,23,[28][29][30][31][32][33][34][36][37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

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Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches

2020

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In the paper a comparative study of the two control structures based on MPC (Model Predictive Control) for an electrical drive system with an induction motor are presented. As opposed to the classical approach, in which DFOC (Direct Field Oriented Control) with four controllers is considered, in the current study only one MPC controller is utilized. The proposed control structures have a cascade free structure that consists of a vector of electromagnetic (torque, flux) and mechanical (speed) states of the system. The first investigated framework is based on the finite-set MPC. A short horizon predictive window is selected. The continuous set MPC is used in the second framework. In this case the predictive horizon contains several samples. The computational complexity of the algorithm is reduced by applying its explicit version. Different implementation aspects of both MPC structures, for instance the model used in prediction, complexity of the control algorithms, and their properties together with the noise level are analyzed. The effectiveness of the proposed approach is validated by some experimental tests.

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New hysteresis FCS-MPC AC current controller with disturbance estimator

Stojić

Rivera

2023

Electr Eng

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Finite Control Set MPC vs Continuous Control Set MPC Performance Comparison for Synchronous Buck Converter Control in Energy Storage Application

Cited by 14 publications

References 4 publications

Continuous model predictive control of interleaved boost converter with current compensation

Continuous model predictive control of interleaved boost converter with current compensation

Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches

New hysteresis FCS-MPC AC current controller with disturbance estimator

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