Sliding Mode Controllers for Standalone PV Systems: Modeling and Approach of Control

Chaibi, Y.; Salhi, Mohamed Salah; El-jouni, A.

doi:10.1155/2019/5092078

Cited by 37 publications

(16 citation statements)

References 33 publications

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“…In Figure 7 the DC-DC POSLL converter is controlled using SFC method in order to achieve to reference value of PV panel regarding to (10). Like before, the converter input reference voltage is stepped down from…”

Section: Sf-smc Controller Resultsmentioning

confidence: 99%

“…The sliding mode control technique offers several advantages compared to traditional control methods: stability, even for large line and load variations, robustness, good dynamic response and simple implementation. In [10], using a boost converter in a PV system again the output voltage is controlled which is not suitable for MPPT porpuses, moreover, the stabilty of internal dynamic was not investigated. In [11], a robust backstepping controller is desined for a buck boost converter in a PV system which has a complicated structure.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Nonlinear Control for Positive Output Super Lift Luo Converter in Stand Alone Photovoltaic System

Fallahzadeh

Abjadi

Kargar

et al. 2020

IJE

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This paper proposes a stand-alone photovoltaic (PV) system based on a DC-DC positive output super lift Luo (POSLL) converter. A conventional sliding mode control, a sliding mode controller using a simple sign function and a linear controller using proportional integrator (PI) are used for the control of the PV panel voltage and POSLL converter inductor current and these methods are compared together. The POSLL converter is a DC-DC converter with higher voltage gain compared to other conventional DC-DC converters, and has a good voltage regulation with a simple structure. The stability and accessibility of the proposed nonlinear controls are investigated widely. The internal dynamics of the proposed closed-loop control systems are also investiged. A practical implementation of the system on a hardware setup is performed using a low cost Discovery real time digital control platform. The experimental and simulation results demonstrate the validity of the proposed control schemes over a stand-alone real photovoltaic system.

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Section: Sf-smc Controller Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Nonlinear Control for Positive Output Super Lift Luo Converter in Stand Alone Photovoltaic System

Fallahzadeh

Abjadi

Kargar

et al. 2020

IJE

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show abstract

“…The sliding mode theory allows to design MPPT controller with a robust behavior in presence of external disturbances such as temperature and irradiance variations. This method consists in varying the state trajectory of the system to a predefined sliding surface [23,36,44]. This function is achieved by developing a control law which forces the output y ¼ ∂P pv ∂V pv to converge to zero [36].…”

Section: Sliding Mode Mpptmentioning

confidence: 99%

Annual performance analysis of different maximum power point tracking techniques used in photovoltaic systems

Chaibi

Allouhi

Salhi

et al. 2019

Prot Control Mod Power Syst

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This paper presents an annual performance evaluation of three maximum power point tracking (MPPT) methods. The used MPPT techniques (Perturb and Observe, Incremental Inductance and Sliding mode) are evaluated under an annual data of atmospheric conditions of the target site. The main contribution of this work is to consider real fluctuation conditions of solar irradiations, ambient temperatures and wind velocities. It was found that the Sliding mode provides higher energy yields independently of the period. Compared to the basic P&O and the IC techniques, sliding mode has the potential of generating up to 8.18% more electrical energy than other techniques.

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“…There are so many oscillations in its dynamic response. Similarly, different versions of variable structure based controllers are designed in literature for MPPT of PV system [27,28]. The limitation of all these proposed nonlinear controllers in literature is that they cannot catter the problem of chattering which arises as a result of neglected fast dynamics of the model or due to some other reasons.…”

Section: Introductionmentioning

confidence: 99%

Supertwisting Sliding Mode Algorithm Based Nonlinear MPPT Control for a Solar PV System with Artificial Neural Networks Based Reference Generation

et al. 2020

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The problem of extracting maximum power from a photovoltaic (PV) system with negligible power loss is concerned with the power generating capability of the PV array and nature of the output load. Changing weather conditions and nonlinear behavior of PV systems pose a challenge in tracking of varying maximum power point. A robust nonlinear controller is required to ensure maximum power point tracking (MPPT) by handling nonlinearities of a system and making it robust against changing environmental conditions. Sliding mode controller is robust against disturbances, model uncertainties and parametric variations. It depicts undesirable phenomenon like chattering, inherent in it causing power and heat losses. In this paper, a supertwisting sliding mode algorithm based nonlinear robust controller has been designed for MPPT of a PV system which not only removes the chattering but also enhances the overall system’s dynamic response. Moreover, supertwisting sliding mode controller is robust against changing environmental conditions like change in temperature and irradiance. Noninverting DC-DC Buck-Boost converter has been used as an interface between source and the load. The efficiency of MPPT of a PV system depends upon the accuracy of reference for peak power voltage, therefore an efficient mechanism for reference generation has also been proposed in this work. The reference for peak power voltage has been generated by using a trained artificial neural network, which is to be tracked by proposed nonlinear controllers. Sliding mode controller (SMC) and synergetic controllers have also been designed for MPPT of a PV system in order to compare them with supertwisting sliding mode controller (ST-SMC). Global asymptotic stability of the system has been ensured by using Lyapunov stability criterion. The performance of the proposed nonlinear controllers has been validated in MATLAB/Simulink ODE 45 environment. ST-SMC has also been compared with recently proposed integral backstepping controller and other conventional MPPT controllers given in the literature. The simulation results show the better performance of ST-SMC in terms of best dynamic response and robustness.

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Sliding Mode Controllers for Standalone PV Systems: Modeling and Approach of Control

Cited by 37 publications

References 33 publications

Nonlinear Control for Positive Output Super Lift Luo Converter in Stand Alone Photovoltaic System

Nonlinear Control for Positive Output Super Lift Luo Converter in Stand Alone Photovoltaic System

Annual performance analysis of different maximum power point tracking techniques used in photovoltaic systems

Supertwisting Sliding Mode Algorithm Based Nonlinear MPPT Control for a Solar PV System with Artificial Neural Networks Based Reference Generation

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