A Model Predictive Direct Current Control Strategy With Predictive References for MV Grid-Connected Converters With &lt;inline-formula&gt;&lt;tex-math notation="LaTeX"&gt;$LCL$&lt;/tex-math&gt;&lt;/inline-formula&gt;-Filters

Scoltock, James; Geyer, Tobias; Madawala, Udaya K.

doi:10.1109/tpel.2014.2375919

Cited by 81 publications

(38 citation statements)

References 35 publications

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“…Thus, any improvements during the machine design can be optimally exploited by adapting the internal model dynamics in the controller. Another similar approach is to include LCL filters between the inverter and the motor to decrease the high frequency components of the currents; see [26]. These approaches allow operation at lower switching frequencies with low THD at the same time.…”

Section: A Problem Descriptionmentioning

confidence: 99%

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High-Speed Finite Control Set Model Predictive Control for Power Electronics

Stellato

Geyer

Goulart

2017

IEEE Trans. Power Electron.

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154

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Common approaches for direct model predictive control (MPC) for current reference tracking in power electronics suffer from the high computational complexity encountered when solving integer optimal control problems over long prediction horizons. We propose an efficient alternative method based on approximate dynamic programming, greatly reducing the computational burden and enabling sampling times below 25 µs. Our approach is based on the offline estimation of an infinite horizon value function which is then utilized as the tail cost of an MPC problem. This allows us to reduce the controller horizon to a very small number of stages while simultaneously improving the overall controller performance. Our proposed algorithm was implemented on a small size FPGA and validated on a variable speed drive system with a three-level voltage source converter. Time measurements showed that our algorithm requires only 5.76 µs for horizon N = 1 and 17.27 µs for N = 2, in both cases outperforming state of the art approaches with much longer horizons in terms of currents distortion and switching frequency. To the authors' knowledge, this is the first time direct MPC for current control has been implemented on an FPGA solving the integer optimization problem in real-time and achieving comparable performance to formulations with long prediction horizons. Index TermsApproximate dynamic programming, value function approximation, drive systems, finite control set, model predictive control (MPC).

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Section: A Problem Descriptionmentioning

confidence: 99%

“…and the matrix M i (u m ) using (27). Now we can decompose the vector in quadratic form (26) using the state definition (17) z 1 = z ph z osc z sw,1:2 z sw,3 z upr 1 .…”

mentioning

confidence: 99%

High-Speed Finite Control Set Model Predictive Control for Power Electronics

Stellato

Geyer

Goulart

2017

IEEE Trans. Power Electron.

Self Cite

154

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“…Recently, predictive model-based control (PMC) has been suggested as robust control strategy by [17][18][19] to regulate the AC voltage constant and mitigate harmonics at the PCC. This concept based on prediction current and voltage control techniques for VSI connected to LRC filter is also suggested in [20][21][22][23]. Based on obtained results, the concept based on prediction is more suitable for applications as a standalone system, where the voltage regulation and harmonic mitigation at the PCC, are challenging.…”

Section: Introductionmentioning

confidence: 99%

Improved predictive current model control based on adaptive PR controller for standalone system based DG set

Ikaouassen¹,

Raddaoui²,

Rezkallah³

et al. 2020

IJECE

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This paper investigates an improved current predictive model control (PCMC) strategy with a prediction horizon of one sampling time for voltage regulation in standalone system based on diesel engine driven fixed speed of a synchronous generator. An adaptive PR controller with anti-windup scheme is employed to achieve high performance regulation without saturation issues. In addition, new method to obtain the optimal parameters of the adaptive PR controller to achieve high performance during the transition and in steady state is provided. To balance the power at the point of common coupling (PCC) as well as to feed a clean power to the connected loads, a three-phase voltage source inverter (VSI) with LRC filter is controlled using the developed improved PCMC strategy, where the output filter current is controlled using the predicting of the system behaviour model in the future step, at each sampling prediction time. The performances of the proposed configuration and the improved control strategy are verified using Matlab/Simulink interface.

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“…Thus, special attention has to be paid while introducing active damping methods to FCS-MPC applications, such as suggested in [30]- [32]. In this work, online optimized FCS-MPC approaches for grid-connected VSC with LCL filters based on different state feedbacks are presented with the objective to minimize switching losses (via lower switching frequencies) and achieve acceptable current distortion.…”

Section: Introductionmentioning

confidence: 99%