Robust Direct Adaptive Controller Design for Photovoltaic Maximum Power Point Tracking Application

Salim, Muath Bani; Hayajneh, Hassan S.; Mohammed, A.E.; Özçelik, Selahattin

doi:10.3390/en12163182

Cited by 10 publications

(8 citation statements)

References 37 publications

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“…The PV cell maximum power (213.15 W) versus MPPT output power is shown in Figure 9 for 1000 W/m 2 radiation at 25°C. This finding illustrates that the reaction time of the MRAC adaptive controller is lower than 0.02 sec, which is quicker than any other controller as in [26,31]. Figure 10 shows the voltage and current waveform.…”

Section: Resultsmentioning

confidence: 86%

“…R 0 is the load resistance. [26]. A small-signal equivalent circuit is assumed to simplify the study of transient response as indicated in [27].…”

Section: Boost Converter Dynamicsmentioning

confidence: 99%

“…To minimize current and voltage ripples, the boost converter inductance and capacitance values must be carefully chosen in the design. The capacitance is selected in such a way that the voltage ripples are minimized, as recommended in [26]:…”

Section: Boost Converter Dynamicsmentioning

confidence: 99%

“…The inductance is selected in such a way that the current ripples are minimized, as recommended in [26]:…”

Section: Boost Converter Dynamicsmentioning

confidence: 99%

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A novel robust model reference adaptive MPPT controller for Photovoltaic systems

Manna¹,

Singh²,

Akella³

et al. 2022

Scientia Iranica

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Solar photovoltaic (SPV) power generation has been more popular throughout the world in recent years due to its recyclable and eco-friendly nature. As a result, extracting the maximum power from SPV systems is important. Our contribution to this problem is to harvest maximum power under changes in ambient conditions and parametric variations. This paper presents a novel robust model reference adaptive maximum power point tracking controller (RMRAC-MPPT) for PV systems under five different cases including temperature, load, irradiance, boost converter capacitance, and inductance variations. To assess the robustness of the proposed method, MATLAB/Simulink software is used to compare it to the state-of-the-art techniques such as INC, P&O, FLC, Adaptive FLC, SMC, back stepping-SMC, PI, iRCS-MPC, P&O-MPC, ANFIS, BAT-FLC, and IPID. The verification of the proposed method is also tested in a laboratory-based OPAL-RT real-time simulator. It is evident that the proposed MPPT technique improves maximum power point (MPP) tracking capabilities while reducing steady-state oscillations. Furthermore, with five different parameter variations, the time duration to capture MPP is 1.5ms, which is significantly faster than other state-of-the-art 2 techniques. In addition, the proposed technique has a tracking efficiency of 99.75% and an overall system efficiency of 96%.

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Section: Resultsmentioning

confidence: 86%

“…R 0 is the load resistance. [26]. A small-signal equivalent circuit is assumed to simplify the study of transient response as indicated in [27].…”

Section: Boost Converter Dynamicsmentioning

confidence: 99%

Section: Boost Converter Dynamicsmentioning

confidence: 99%

“…The inductance is selected in such a way that the current ripples are minimized, as recommended in [26]:…”

Section: Boost Converter Dynamicsmentioning

confidence: 99%

See 2 more Smart Citations

A novel robust model reference adaptive MPPT controller for Photovoltaic systems

Manna¹,

Singh²,

Akella³

et al. 2022

Scientia Iranica

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show abstract

“…Many studies have researched the MPPT control issue of the PV system in recent years [3][4][5][6][7][8][9][10][11][12]. The MPPT methods for the PV system are summarized and compared in [13].…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Point Tracking and Voltage Regulation of Two-Stage Grid-Tied PV System Based on Model Predictive Control

Liu

Lee

2020

Energies

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This paper proposes a maximum power point tracking (MPPT) and voltage regulation method based on model predictive control (MPC) for the two-stage grid-tied photovoltaic (PV) system, which can achieve MPPT and output voltage regulation of a PV system simultaneously. The MPPT algorithm based on MPC is implemented in a DC-DC boost converter. The reference voltage at maximum power point is obtained by dual step Incremental Conductance (I&C) algorithm under the rapidly varying illumination intensity, and the MPPT controller only needs to minimize one cost function of PV current, without pulse width modulation (PWM) module. To inject the generated PV power into the grid with high quality, this paper designs voltage regulation controller based on MPC to maintain the output voltage of the PV system at the desired value. The MPC controller outputs the optimal duty signal with the input and state constraints in the inner loop, and the PI controller in the outer loop is designed to improve the dynamic performance. The proposed method based on MPC was demonstrated using the SimPower systems tool in MATLAB/Simulink. Analysis and simulation results for the PV system show possible improvements on the closed-loop performance such as fast response and low overshoot.

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Averaged current mode control for maximum power point tracking in high-gain photovoltaic applications

et al. 2020

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Robust Direct Adaptive Controller Design for Photovoltaic Maximum Power Point Tracking Application

Cited by 10 publications

References 37 publications

A novel robust model reference adaptive MPPT controller for Photovoltaic systems

A novel robust model reference adaptive MPPT controller for Photovoltaic systems

Maximum Power Point Tracking and Voltage Regulation of Two-Stage Grid-Tied PV System Based on Model Predictive Control

Averaged current mode control for maximum power point tracking in high-gain photovoltaic applications

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