Experiential Integral Backstepping Sliding Mode Controller to achieve the Maximum Power Point of a PV system

Oubbati, Brahim Khalil; Boutoubat, Mohamed; Rabhi, Abdelhamid; Belkheiri, Mohammed

doi:10.1016/j.conengprac.2020.104570

Cited by 22 publications

(11 citation statements)

References 27 publications

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“…In this sense, many MPPT techniques have been introduced and discussed such as perturb and observe (P&O) [8][9][10], modified P&O [11][12][13][14][15][16], incremental conductance (IC) [17][18][19][20][21], the beta method [22,23], ripple correlation [24,25], system oscillation [26,27], MPP locus characterization [28], backstepping MPPT [29], reinforcement learning MPPT [30], integral backstepping [31], and sliding mode-based techniques [32][33][34]. Additionally, algorithms based on metaheuristics can optimize energy harvesting in the face of partial shading, i.e., where the P×V curve presents more than one peak of power [35,36].…”

Section: Introductionmentioning

confidence: 99%

Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System

et al. 2021

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This paper presents a novel complete design procedure to convert a maximum power point tracking (MPPT) algorithm into a control system. The MPPT algorithm can be tuned by employing any control system design. In this paper, we adopted Bode diagrams using the criteria of module and phase as the power electronics specialists are habituated with such concepts. The MPPT control transfer functions were derived using the average state equations and small-signal analysis. The control loops were derived for power and voltage control loops. The design procedure was applied to the well-known perturb and observe (P&O) and incremental conductance (IC) algorithms, returning the P&O based on PI and IC based on PI algorithms. Such algorithms were evaluated through simulation and experimental results. Additionally, we showed that the proposed design methodology can optimize energy harvesting, allowing algorithms to have outstanding tracking factors (above 99%) and adaptability characteristics.

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Section: Introductionmentioning

confidence: 99%

Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System

et al. 2021

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“…The recursive nature of the proposed control design is similar to the standard backstepping methodology. However, the proposed control design uses backstepping to design controllers with a terminal sliding surface at the last step [22][23]. The design proceeds as follows:…”

Section: B Backstepping Terminal Sliding Model Controllermentioning

confidence: 99%

Backstepping Terminal Sliding Mode MPPT Controller for Photovoltaic Systems

Behih

Attoui

2021

Eng. Technol. Appl. Sci. Res.

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In this paper, a new Maximum Power Point Tracking (MPPT) control for a Photovoltaic (PV) system is developed based on both backstepping and terminal sliding mode approaches. This system is composed of a solar array, a DC/DC boost converter, an MPPT controller, and an output load. The Backstepping Terminal Sliding Mode Controller (BTSMC) is used via a DC-DC boost converter to achieve maximum power output. The stability of the closed-loop system is guaranteed using the Lyapunov method. This novel approach provides good transient response, low tracking error, and very fast reaction against solar radiation and PV cell temperature variations. Furthermore, chattering, which constitutes the main disadvantage of the classic sliding mode technique is eliminated. To show the effectiveness and robustness of the proposed control, different simulations under different atmospheric conditions are conducted in Matlab/Simulink.

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“…In Chatrenour et al (2017) and Pradhan and Subudhi (2015), a further steady-state error reduction has been achieved by applying another integral term to the sliding surface. Conversely, there is a rise in the problem of overshoot (Oubbati et al, 2020). To reduce the problem of overshoot/undershoot, the authors added a derivative term to the sliding surface in Zhang et al (2020) (DIDSMC technique in Appendix A).…”

Section: Introductionmentioning

confidence: 99%

An improved sliding mode control–based GMPPT algorithm for photovoltaic system

Nadeem

Sher

Murtaza

et al. 2023

Transactions of the Institute of Measurement and Control

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In this paper, an improved fixed-frequency-based integral sliding mode controller is designed and applied to a stand-alone photovoltaic (PV) system to obtain the desired reference signal for the maximum power point tracking. The proposed technique is designed with the modified sliding surface and sigmoidal function-based control law which improves the transient and steady-state performance of the PV system under uniform and partial shading conditions. Moreover, the cost of the proposed technique is further reduced by predicting the inductor current without employing a current sensor. In addition, the varying tuning factor strategy is used to further reduce the undershoot and overshoot issues during the tracking process. The desired voltage reference signal is provided by the online fractional open-circuit voltage algorithm. Furthermore, the proposed sliding mode control technique is integrated with the 0.8 Voc model-based algorithm to obtain the global maximum power point. To check the effectiveness and fair analysis, the proposed technique is tested in MATLAB/Simulink environment under partial shading conditions, and its results are compared with the recently developed double integral derivative sliding mode control technique. The suggested technique is also tested experimentally on a 245 W PV module, in conjunction with a boost converter. The simulation and experimental findings reveal that the proposed technique outperforms the double integral derivative sliding mode control technique in terms of steady-state and transient performance, tracking speed, and transient efficiency.

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Experiential Integral Backstepping Sliding Mode Controller to achieve the Maximum Power Point of a PV system

Cited by 22 publications

References 27 publications

Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System

Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System

Backstepping Terminal Sliding Mode MPPT Controller for Photovoltaic Systems

An improved sliding mode control–based GMPPT algorithm for photovoltaic system

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