Predictive Control of Back-to-Back Converters with DC-Link Capacitance Minimization

Grimm, Ferdinand; Liu, Yu; Liu, Xiaodong; Zhang, Zhenbin

doi:10.1109/precede.2019.8753202

Cited by 3 publications

(5 citation statements)

References 12 publications

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“…Moreover it can be seen that using the variable switching point on both sides with the linear scheme leads to an unstable solution. The quadratic solution on both sides, as well as the linear solution on the grid side, show roughly equal performance but both methods are outperformed by the algorithm presented in [5].…”

Section: Comparative Analysismentioning

confidence: 99%

“…Since all current that is not flowing from the machine side to the grid side or vice versa is charging the DC-link capacitor, the DC-link voltage is used instead as cost function to obtain the switching state in the following. A formula estimating the charge change of the DC-link C req, approx is given as [5]:…”

Section: A Vsp-scheme To Minimize Dc-link Chargingmentioning

confidence: 99%

“…• Centralized MPC [5] with λ C = V ref dc,∞ /36, λ dc = 0. • VSPMPC with a quadratic minimization scheme.…”

Section: Comparative Analysismentioning

confidence: 99%

“…A quasi-centralized Model Predictive Control (MPC) system, for example, computes the reference quantities dynamically by utilizing load-side power estimation rather than PI-controllers. The concept of quasi-centralized MPC can be further extended to centralized model predictive control (CMPC) [3]- [5]. This approach summarizes the whole system model into one single cost function, allowing evaluation of the influence of all possible switching combinations on all the states and including effects of both sides of the converter at the same time.…”

Section: Introductionmentioning

confidence: 99%

“…The approach in [4] focuses on finite control set MPC which is achieved by linearizing the DC-link voltage. Based on the findings of [4], a variant of CMPC which is robust to low DClink capacitances has been introduced in [5]. At each sampling point, model predictive control methods aim to estimate the optimal switching state for the next sampling instant.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Variable Switching Point Model Predictive Control for DC-Link Voltage Regulation of Back-to-Back Converters

Grimm

Kolahian

Bucknall

et al. 2022

IEEE Trans. on Ind. Applicat.

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In this paper, a novel control method for back-toback converters used in grid-to-motor connections is explored. To increase the robustness of low DC-link capacitances, a control method based on variable switching point model predictive control is proposed. While previous model predictive control methods for the back-to-back converter selected a certain switching state to fulfill all control goals, we use the switching time in addition to the switching state in order to minimise deviations from the target voltage. Choosing a variable switching point provides an additional degree of freedom to the control framework and allows the system to cope with the large number of control variables. In this case, the variable switching point is used to minimize the effects of low DC-link capacitances on the system. This can either be achieved by selecting a switching point that yields low DClink capacitor charging or by selecting a switching point that aims to keep the DC-link voltage close to the reference. The proposed method is verified through numerical simulations and hardware-in-the-loop (HIL) experiments and compared to existing approaches. The results show that it is possible to control the DClink using only the switching point of the converter.

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Section: Comparative Analysismentioning

confidence: 99%

Section: A Vsp-scheme To Minimize Dc-link Chargingmentioning

confidence: 99%

“…• Centralized MPC [5] with λ C = V ref dc,∞ /36, λ dc = 0. • VSPMPC with a quadratic minimization scheme.…”

Section: Comparative Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%