Boost Converter Control of PV System Using Sliding Mode Control With Integrative Sliding Surface

Inomoto, Roberto Sussumu; Monteiro, José Roberto Boffino de Almeida; Filho, Alfeu J. Sguarezi

doi:10.1109/jestpe.2022.3158247

Cited by 48 publications

(18 citation statements)

References 26 publications

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“…One of the important features of the sliding mode control is its low sensitivity to system parameter variations (Inomoto et al, 2022). This is possible by employing a high-switching control law, which forces the system trajectories to converge in a predetermined zone within the state space and to remain in this zone thereafter.…”

Section: Control Strategy For Output Voltage Regulationmentioning

confidence: 99%

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Sliding Mode Control-Based MPPT and Output Voltage Regulation of a Stand-alone PV System

Manuel

Inanc

2022

Power Electronics and Drives

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When it comes to reducing emissions caused by the generation of electricity, among different renewable energy sources, the solar energy gains prominence, due to its geographical availability, simplicity of implementation, and absence of physical moving parts. However, the performance of photovoltaic systems is dependent on environmental conditions. Depending on temperature and solar irradiation, the photovoltaic (PV) system has an operating point where maximum power can be generated. The techniques that are implemented to find this operating point are the so-called maximum power point tracking (MPPT) algorithms. Since weather conditions are variable in nature, the output voltage of the PV system needs to be regulated to remain equal to the reference. Most of the existing studies focus either on MPPT or on voltage regulation of the PV system. In this paper, the two-stage PV system is implemented so that both MPPT and voltage regulation are achieved simultaneously. Additionally, an improved version of the perturb and observe (P&O) algorithm based on artificial potential fields (APF), called APF-P&O, is presented. According to the results of the simulations carried out in MATLAB/Simulink software, the APF-P&O method is more efficient than the conventional method.

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Section: Control Strategy For Output Voltage Regulationmentioning

confidence: 99%

“…For the system to be considered stable, the selected Lyapunov function has to meet the following conditions (Inomoto et al, 2022):…”

Section: ( ) ( )mentioning

confidence: 99%

Sliding Mode Control-Based MPPT and Output Voltage Regulation of a Stand-alone PV System

Manuel

Inanc

2022

Power Electronics and Drives

View full text Add to dashboard Cite

show abstract

“…One of the important features of the Sliding Mode Control is its low sensitivity to system parameter variations [29].This is possible by employing a high-switching control law, which forces the system trajectories to converge in a predetermined zone within the state space and to remain in this zone thereafter. In SMC parlance, this zone is denoted as a sliding surface.…”

Section: Sliding Mode Controller Design For Output Voltage Regulationmentioning

confidence: 99%

“…For the system to be considered stable, the selected Lyapunov function has to meet the following conditions [29] :…”

Section: Sliding Mode Controller Design For Output Voltage Regulationmentioning

confidence: 99%

Sliding Mode Control based MPPT and Output Voltage Regulation of a Two-stage Stand-alone PV System

Manuel

Inanc

2022

Preprint

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When it comes to reducing emissions caused by the generation of electricity through conventional sources, among different renewable energies, the solar gains prominence, due to its geographical availability, simplicity of implementation and absence of moving parts. However, the performance of photovoltaic systems is dependent on environmental conditions. Depending on temperature and solar irradiation, the PV system has an operating point where maximum power can be generated. The techniques that are implemented to find this operating point are the so-called maximum power point tracking (MPPT) algorithms. Since weather conditions are variable in nature, the output voltage of the PV system needs to be regulated to remain equal to the reference. Most of the existing studies focus either on MPPT or on voltage regulation of the PV system. In this paper, the two-stage PV system is implemented so that both MPPT and voltage regulation are achieved simultaneously. Additionally, an improved version of the Perturb and Observe (P&O) algorithm based on artificial potential fields (APF), called APF-P&O, is proposed. Sliding Mode Controllers with appropriate control laws are designed for both stages of conversion. Simulations performed in MATLAB/Simulink software prove the superiority of the proposed APF-P&O method over the conventional P&O method in terms of convergence time, output power ripples and sensitivity to step sizes. At the same time, the voltage regulation issue is also solved, where the output voltage is fixed to the value of 32 V, regardless of variations in solar irradiation.

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“…Among these methods, the SMC is known as an advanced technique that has attracted a lot of interest due to its significant benefits in terms of robustness against perturbations and parameter variations, ease of implementation, and reference for many industrial applications. Several works using this technique for voltage regulation were reported [ 16 , 17 , 18 , 19 , 20 , 21 ]. Qi et al [ 16 ] presented a new structure of a DC-DC boost converter combined with a conventional sliding mode controller to improve the DC voltage gain and reduce voltage stress on the power switch.…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Control Strategy for a Bidirectional DC-DC Converter Based on Extremum Seeking and Sliding Mode Control

Trinh

Nguyen

Phan

et al. 2023

Sensors

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This paper presents a new control strategy that combines classical control and an optimization scheme to regulate the output voltage of the bidirectional converter under the presence of matched and mismatched disturbances. In detail, a control-oriented modeling method is presented first to capture the system dynamics in a common canonical form, allowing different disturbances to be considered. To estimate and compensate for unknown disturbances, an extended state observer (ESO)-based continuous sliding mode control is then proposed, which can guarantee high tracking precision, fast disturbance rejection, and chattering reduction. Next, an extremum seeking (ES)-based adaptive scheme is introduced to ensure system robustness as well as optimal control effort under different working scenarios. Finally, comparative simulations with classical proportional-integral-derivative (PID) control and constant switching gains are conducted to verify the effectiveness of the proposed adaptive control methodology through three case studies of load resistance variations, buck/boost mode switching, and input voltage variation.

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Boost Converter Control of PV System Using Sliding Mode Control With Integrative Sliding Surface

Cited by 48 publications

References 26 publications

Sliding Mode Control-Based MPPT and Output Voltage Regulation of a Stand-alone PV System

Sliding Mode Control-Based MPPT and Output Voltage Regulation of a Stand-alone PV System

Sliding Mode Control based MPPT and Output Voltage Regulation of a Two-stage Stand-alone PV System

Robust Adaptive Control Strategy for a Bidirectional DC-DC Converter Based on Extremum Seeking and Sliding Mode Control

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