High Performance MPPT based on TS Fuzzy–integral backstepping control for PV system under rapid varying irradiance—Experimental validation

Doubabi, Hajar; Salhi, Issam; Chennani, Mohammed; Essounbouli, Najib

doi:10.1016/j.isatra.2021.02.004

Cited by 30 publications

(16 citation statements)

References 27 publications

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“…[21][22][23] Machine learning and fuzzy logic control (FLC) [24] require additional training and fine-tuning of the adaptive step size of gradient-based MPPT controllers. [25] PS detection requires extensive rule description. [26] Therefore, random search and information sharing mathematical models of swarms are developed to significantly improve the probability of detecting GM.…”

Section: Literature Reviewmentioning

confidence: 99%

An Intelligent Tunicate Swarm Algorithm Based MPPT Control Strategy for Multiple Configurations of PV Systems Under Partial Shading Conditions

Mansoor

Mirza

Feng³

et al. 2021

Advcd Theory and Sims

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Solar energy is the most techno-economically viable renewable source of energy and can be effectively converted into electrical power by Photovoltaic (PV) systems. As partial shading (PS) may reduce the harvested energy of PV systems, this paper proposes a novel tunicate swarm algorithm (TSA) based MPPT (maximum power point tracking) strategy to tackle the PS issue. More specifically, the simple and effective modeling of TSA with a search and skipping (SAS) scheme is utilized to minimize the tracking time and search area. The SAS scheme can discard the voltage range lacking global maximum power point (GMPP) and significantly reduce computation time. Consequently, power tracking, tracking time, and robustness can be greatly enhanced. The performance of the proposed TSA strategy is comprehensively analyzed against state-of-the-art techniques, including incremental conductance (InC), improved particle swarm optimization (IPSO), grey wolf optimization (GWO), and cuckoo search algorithm (CSA), through detailed case studies, which include standard array configurations, PS conditions, varying irradiance patterns, fast-changing temperature, and the field atmospheric data. TSA is further validated on a low-cost hardware setup, confirming its superior performance. The results provide insightful validation of the practicality of the proposed TSA strategy in the real-world applications.

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Section: Literature Reviewmentioning

confidence: 99%

An Intelligent Tunicate Swarm Algorithm Based MPPT Control Strategy for Multiple Configurations of PV Systems Under Partial Shading Conditions

Mansoor

Mirza

Feng³

et al. 2021

Advcd Theory and Sims

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“…In the field of PV MPPT optimization, backstepping again became one of the most popular techniques [21,23,24]. It can track easily MPP with interesting features in terms of rapidity, accuracy, robustness, and stability even under critical weather conditions.…”

Section: Introductionmentioning

confidence: 99%

Integral backstepping improvement versus classical and multiscalar backstepping controllers for water IM‐pump fed by backstepping MPPT PV source based on solar measurements in a tropical insular region

Mehazzem

Réama

Charles

et al. 2021

IET Renewable Power Gen

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The work presented here deals with a comparison between integral, classical and multiscalar backstepping controllers applied for a PV water pumping system. The solar pumping system is controlled in its first part by a backstepping maximum power point tracking approach in order to extract a maximum power from solar panels. The second part, composed mainly by induction motor-pump is controlled by backstepping structures. The integral backstepping control structure gives interesting features in terms of stability using recursive Lyapunov design, increases robustness despite parameters variation, and provides good tracking and optimization performance. In order to validate the study with a real solar data, a measured irradiance profile is used to fed the PV system, based on solar measurements in tropical insular context. The measurements are collected at Sonapi site located in Haiti country. The fast variability of the tropical irradiance profile will allow to test the robustness of the used control algorithms and determine their limits. Simulation of the proposed solution is validated under Matlab/Simulink. Results demonstrate clearly that integral backstepping provides the best solution with a good tracking, and optimization performance: fast dynamic response and stable static power output, even when weather conditions (irradiation) are rapidly changing.

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“…When the performances of the aforementioned controllers are not satisfactory, the Backstepping can be a good alternative. Indeed, it presents the advantage to be a systematic design approach based on Lyapunov theory and it proved its effectiveness in many frameworks [9,10,22,34]. Besides control performances, we are looking for effectiveness and ease of implementation.…”

Section: Introductionmentioning

confidence: 99%

Backstepping Global and Structural Stabilization of DC/DC Boost Converter

Madni

Guesmi

Benalia

2021

Preprint

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This paper deals with the stabilization of DC/DC boost converter and the nonlinear phenomena elimination using a constrained Backstepping technique. Based on the converter averaged model, the pro- posed control approach is designed and the input to state stability concept is used to proof the system global stability. Furthermore, the structural stability is proven to show the eﬃciency of the proposed approach to suppress the nonlinear phenomena exhibited by the converter. The simulation results illustrate the diﬀerent regions of stability of the system and the bifurcation diagrams are given to show the eﬀectiveness of the proposed approach in terms of nonlinear phenomena suppression.

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High Performance MPPT based on TS Fuzzy–integral backstepping control for PV system under rapid varying irradiance—Experimental validation

Cited by 30 publications

References 27 publications

An Intelligent Tunicate Swarm Algorithm Based MPPT Control Strategy for Multiple Configurations of PV Systems Under Partial Shading Conditions

An Intelligent Tunicate Swarm Algorithm Based MPPT Control Strategy for Multiple Configurations of PV Systems Under Partial Shading Conditions

Integral backstepping improvement versus classical and multiscalar backstepping controllers for water IM‐pump fed by backstepping MPPT PV source based on solar measurements in a tropical insular region

Backstepping Global and Structural Stabilization of DC/DC Boost Converter

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