Modified Finite Control Set-Model Predictive Controller (MFCS-MPC) for quasi Z-Source Inverters based on a Current Observer

Bakeer, Abualkasim; Ismeil, Mohamed A.; Orabi, Mohamed

doi:10.6113/jpe.2017.17.3.610

Cited by 14 publications

(13 citation statements)

References 24 publications

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“…The three-phase voltage source inverter (VSI) can connect the three-phase load to the positive or negative terminals of the DC link (V dc ) by using different combinations of their switches. However, qZSI has an extra state in addition to the eight states, which is a shoot-through state [33]. This study proposes a modified model predictive controller (MMPC) as shown in Fig.…”

Section: Modified Model Predictive Control (Mmpc)mentioning

confidence: 99%

“…This study has modified a model predictive control (MPC) algorithm [33], that was used to control a three-phase quasi Z-source inverter (qZSI) by providing the switching states of the inverter. The original MPC algorithm aimed to minimize the total harmonic distortion (THD) of the output currents without considering the inverter power losses.…”

Section: Introductionmentioning

confidence: 99%

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Implementation of New Optimal Control Methodology of Quazi Z-Source Inverter Based on MPC

et al. 2023

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Model predictive control (MPC) is a well-known control methodology in power electronics systems, due to its ability to deal with the system's nonlinearities and superior dynamic response. MPC is able to handle multiple variables by adjusting the cost function, but this leads to high computational costs, especially for systems having a big number of switches. This problem increases when not only performance efficiency is required but also minimizing the power losses of these systems. In this paper, a modified MPC algorithm is presented for controlling a three-phase quasi Z-source inverter (qZSI), i.e., providing switching states to be applied for qZSI control, so that, within less computation time, total harmonic distortion (THD) of the output currents is maintained at the minimum level with concurrent minimization of inverter switch power losses. The computational burden is reduced by using calculation loop optimization, reducing the number of switching states in the loop and unrolling the calculation loop. To highlight the effectiveness of the proposed control methodology, a numerical simulation was carried out using MATLAB software. The obtained results have been discussed and compared with those of a recent previous study.INDEX TERMS Model predictive control (MPC), quasi Z-source inverter (qZSI), switching losses, conduction losses, total harmonic distortion (THD).

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Section: Modified Model Predictive Control (Mmpc)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation of New Optimal Control Methodology of Quazi Z-Source Inverter Based on MPC

et al. 2023

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“…The implementation of hysteresis comparators for power control generates high-power ripples and variable switching frequency, which increase the power losses and produces an unexpected wide band gap harmonic spectrum range, which implies that designing a line filter is difficult. Model predictive control (MPC) has become a popular technique for power converters in the last decade due to its simplicity, flexibility, and ease of adding control limitations [21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Low Computational Burden Predictive Direct Power Control of Quasi Z-Source Inverter for Grid-Tied PV Applications

et al. 2023

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This paper proposes a simplified predictive direct power control for the grid-tied quasi Z-source inverter. The proposed control implements a model predictive control structure to achieve the maximum obtainable power from the collected PV source. The power delivered to the grid is managed to compensate for the reactive power and, as needed, to ensure the grid’s stability. A predictive power model for a quasi Z-source inverter is developed in which the proposed control can operate with a fixed switching frequency without a weighting factor. The simplified space vector modulation uses the three appropriate switching vectors that are selected and applied using precalculated switching times during each switching period, in which the required switching vectors are determined only from one sector in the space vector diagram, taking all of the information of the other sectors, which leads to reducing the computational burden. Simulation results and comparative study are used to confirm the proposed control performance for the grid-tied quasi Z-source inverter capable of tracking and generating the maximum power from PV with fast-tracking dynamics, ensuring the ac voltage desired, and better tracking of the active and reactive power reference with the lowest power ripple. The grid current harmonics were tested and conformed to the IEEE-519 standard. Additionally, the proposed simplified PDPC is experimentally validated using the Hardware-in-the-Loop emulator and the C2000TM-microcontroller-LaunchPadXL TMS320F28379D kit, establishing the usability and good result of our proposed control approach in terms of requirements.

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“…Thus, when the system parameters are not well designed, a complex bifurcation phenomenon may occur [19][20][21][22] and cause the system performance degradation or even lead to instability [20,21]. Because of the simplicity, flexibility, discrete nature, and inherent adaptation to the power electronic circuits, model predictive control (MPC) is also gradually utilized in the power converters [23][24][25][26]. The dynamic phasor model-based model predictive control DAB converter is obtained in Reference [27].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Stability Analysis of Model Predictive Control Dual Active Bridge Converter

et al. 2019

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Digital control has been widely used in dual active bridge (DAB) converters, which are pivotal parts of electric vehicles and distributed generation systems. However, the time delays introduced by the digital control could affect the performance or even lead to the instability of the digitally controlled DAB converter. In order to reduce the effect of time delay on the dynamics and stability of the system, the model predictive control (MPC) of the DAB converter is proposed based on the discrete-time iteration in this paper to compensate for the digital control delay. According to the obtained discrete-time model, the instability mechanism of the MPC DAB converters with different parameters is revealed. The simulation and theoretical analysis indicate that this method could reduce the influence of the digital control delay and increase the stable range of the system compared with the conventional control strategy. The proposed method is also revealed to have a strong compatibility and portability. In addition, the accurately predicted stability boundaries can be applied to the practical parameter design and guarantee the stable operation of the system. The experimental results are consistent with the theoretical analysis and verify the proposed method.

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Modified Finite Control Set-Model Predictive Controller (MFCS-MPC) for quasi Z-Source Inverters based on a Current Observer

Cited by 14 publications

References 24 publications

Implementation of New Optimal Control Methodology of Quazi Z-Source Inverter Based on MPC

Implementation of New Optimal Control Methodology of Quazi Z-Source Inverter Based on MPC

Low Computational Burden Predictive Direct Power Control of Quasi Z-Source Inverter for Grid-Tied PV Applications

Modeling and Stability Analysis of Model Predictive Control Dual Active Bridge Converter

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