Finite Control Set Model Predictive Control for Parallel Connected Online UPS System under Unbalanced and Nonlinear Loads

Khan, Hussain Sarwar; Aamir, Muhammad; Ali, M. Syed; Waqar, Asad; Ali, Syed Umaid; Imtiaz, Junaid

doi:10.3390/en12040581

Cited by 31 publications

(15 citation statements)

References 36 publications

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“…The rows and columns in Table 2 are .64] meaning that the higher value is an order of magnitude larger than the lower. Similarly, for λ sw , the interval is [11,120] × 10 −5 . In addition, a nonlinear and not obvious relationship between both parameters is appreciable.…”

Section: Resultsmentioning

confidence: 99%

“…For this application, the problem of minimizing x − y losses while simultaneously maintaining the switching frequency and current tracking error below some limits is considered. For other applications, other figures of merit could be used, for instance harmonic distortion in Uninterrupted Power Systems [11], current ripple in permanent magnet motors [12], speed in wind turbines [13] and others.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers

G.¹,

Arahal²,

Martín³

et al. 2019

Energies

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The problem of control of stator currents in multi-phase induction machines has recently been tackled by direct digital model predictive control. Although these predictive controllers can directly incorporate constraints, most reported applications for stator current control of drives do no use this possibility, being the usual practice tuning the controller to achieve the particular compromise solution. The proposal of this paper is to change the form of the tuning problem of predictive controllers so that constraints are explicitly taken into account. This is done by considering multiple controllers that are locally optimal. To illustrate the method, a five-phase drive is considered and the problem of minimizing x − y losses while simultaneously maintaining the switching frequency and current tracking error below some limits is tackled. The experiments showed that the constraint feasibility problem has, in general, no solution for standard predictive control, whereas the proposed scheme provides good tracking performance without violating constraints in switching frequency and at the same time reducing parasitic currents of x − y subspaces.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers

G.¹,

Arahal²,

Martín³

et al. 2019

Energies

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show abstract

“…The model used is based on a mathematical analysis system to predict their future behaviour [19]. Then, a cost function must be defined in order to select an optimized controlling action [19][20][21]. Figure 9 illustrates a diagrammatic representation of the Predictive Control Strategy applied to the PAF, where [14]: if * (k) represents the reference harmonic current identified by the diphase method based on the extraction of harmonics with Adaline in the DQ reference frame.…”

Section: Predictive Current Control Applied To Pafmentioning

confidence: 99%

A New Control Stratum Applied to Two Adaptation Stages Based on Adaline-Type Neuronal Predictive Control in a Photovoltaic Solar Conversion Chain

Chtouki¹,

Wira²,

Zazi³

et al. 2020

EJEE

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In order to better adapt to the variation in solar irradiation and to improve the efficiency of the photovoltaic generator, i.e. to maximize the power delivered to the grid. Several criteria's for optimizing the efficiency of the photovoltaic system have been applied. Among them, the algorithms for tracking the optimal operating point of the photovoltaic panels that called Maximum Power Point Tracking (MPPT). In this article, a PV generator (GPV) has been connected to the power grid, as a result, direct consequence is in the deterioration of the voltage wave and thus the quality level of the energy supplied to the consumers. To overcome these problems of harmonic pollution, active power filtering is proposed as an efficient solution to improve grid power quality. This paper therefore proposes to examine the characteristics of an association between a photovoltaic generator (PVG) that aims at injecting active power into the electrical grid and a parallel active filter that has the task of eliminating disturbances present in this grid. The theory of the twophase method with Adaline harmonic extraction is applied for the extraction of the reference currents according to the DQ reference frame. Finite set mode predictive current control (FS-MPCC) applied on PAF has been proposed in order to compensate undesirable harmonic, and reactive power resulting from a non-linear load. A Global Maximum Power Point Tracking (GMPPT) algorithm based Adaline method has been suggested for extracting power from PVG. A simulation under Matlab/Simulink of the global system proves the robust performance capability of the suggested Adaline Neuro-Predictive (ANP) control to simultaneously provide harmonic current compensation, power factor correction and solar power energy injection into the grid.

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“…Despite the fact of high computational requirement, the real-time implementation of predictive control for power converters is of considerable interest to improve the dynamic performance as well as to optimize the entire system performance by including additional constraints. MPC has been applied for two-level voltage source inverter (VSI) [5,6], three-level neutral-point clamped converter (NPC) [2,7], active front end rectifier [8,9], cascaded H-Bridge inverter [10][11][12], asymmetric flying capacitor converter [13], three-phase direct Matrix converters [14,15], predictive control for UPS applications [16,17], predictive torque control (PTC), and field oriented control (FOC) of an induction machine [2,18], to name a few.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based Implementation of Finite Set-MPC for a VSI System Using XSG-Based Modeling

2020

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Finite set-model predictive control (FS-MPC) is used for power converters and drives having unique advantages as compared to the conventional control strategies. However, the computational burden of the FS-MPC is a primary concern for real-time implementation. Field programmable gate array (FPGA) is an alternative and exciting solution for real-time implementation because of the parallel processing capability, as well as, discrete nature of the hardware platform. Nevertheless, FPGA is capable of handling the computational requirements for the FS-MPC implementation, however, the system development involves multiple steps that lead to the time-consuming debugging process. Moreover, specific hardware coding skill makes it more complex corresponding to an increase in system complexity that leads to a tedious task for system development. This paper presents an FPGA-based experimental implementation of FS-MPC using the system modeling approach. Furthermore, a comparative analysis of FS-MPC in stationary αβ and rotating dq frame is considered for simulation as well as experimental result. The FS-MPC for a three-phase voltage source inverter (VSI) system is developed in a realistic digital simulator integrated with MATLAB-Simulink. The simulated controller model is further used for experimental system implementation and validation using Xilinx FPGA: Zedboard Zynq Evaluation and Development Kit. The digital simulator termed as Xilinx system generator (XSG) provided by Xilinx is used for modeling-based FPGA design.

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Finite Control Set Model Predictive Control for Parallel Connected Online UPS System under Unbalanced and Nonlinear Loads

Cited by 31 publications

References 36 publications

Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers

Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers

A New Control Stratum Applied to Two Adaptation Stages Based on Adaline-Type Neuronal Predictive Control in a Photovoltaic Solar Conversion Chain

FPGA-Based Implementation of Finite Set-MPC for a VSI System Using XSG-Based Modeling

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