Self-Adaptive PI-FLC for BLDC Motor Speed Supplied by PEM Fuel Cell Stack Optimized by MPPT

Jouili, Yamina; Garraoui, Radhia; Ben Hamed, Mouna; Sbita, Lassaad

doi:10.1007/s13369-023-08265-y

Cited by 3 publications

(4 citation statements)

References 27 publications

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“…in which the output is performed via linear polynomial combination of the inputs, x 1 and x 2 , even if higher-degree polynomials can be taken into account with significant increase in computational complexity. In (23), A 1,k and A 2,k represent the FMFs, affected by the k-th fuzzy rule, of the two inputs, respectively. Moreover, w 1,k and w 2,k indicate the model parameters to be trained.…”

Section: The Energy Management System: a Ts Optimized Approachmentioning

confidence: 99%

“…To better understand how (24) works, consider as an example the fuzzy inference illustrated in Figure 4 whose fuzzy rules are structured as in (23). It is worth noting that not all fuzzy rules are always activated.…”

Section: The Energy Management System: a Ts Optimized Approachmentioning

confidence: 99%

“…However, it should be noted that the scale limitations and the limited capacity of the accumulator do not allow AC-MGs to provide long-term energy, so it is necessary to use modular FCs to guarantee adequate power with continuity and with rapid response to load variations (common diesel generators are to be excluded because they are polluting and characterized by reduced efficiency) [21,22]. Stationary FCs stand out among them as they can be used in contexts where the quantity of energy required is significant [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System

Versaci,

La Foresta

2024

Energies

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Recently, the implementation of software/hardware systems based on advanced artificial intelligence techniques for continuous monitoring of the electrical parameters of intelligent networks aimed at managing and controlling energy consumption has been of great interest. The contribution of this paper, starting from a recently studied DC-MG, fits into this context by proposing an intuitionistic fuzzy Takagi–Sugeno approach optimized for the energy management of isolated direct current microgrid systems consisting of a photovoltaic and a wind source. Furthermore, a lead-acid battery guarantees the stability of the DC bus while a hydrogen cell ensures the reliability of the system by avoiding blackout conditions and increasing interaction with the loads. The fuzzy rule bank, initially built using the expert’s knowledge, is optimized with the aforementioned procedure, maximizing external energy and minimizing consumption. The complete scheme, modeled using MatLab/Simulink, highlighted performance comparable to fuzzy Takagi–Sugeno systems optimized using a hybrid approach based on particle swarm optimization (to structure the antecedents of the rules) and minimum batch squares (to optimize the output).

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Section: The Energy Management System: a Ts Optimized Approachmentioning

confidence: 99%

Section: The Energy Management System: a Ts Optimized Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System

Versaci,

La Foresta

2024

Energies

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“…In reality, a workable MPPT strategy was required to increase the efficiency of solar panels. Jouili et al 31 presented the most promising technology now in use: a brushless DC motor with a fuel cell stack known as a “PEMFC.” The DC/DC boost circuit of the PEMFC was designed with a powerful “maximum power point tracking” algorithm to improve its performance. Ncir and Akchioui, 32 presented that one of the most difficult components of producing science is developing a reliable optimization control method that can manage a variety of nonlinear system challenges.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Enhancing performance of interleaved KY converter control in single phase grid‐tied PV systems: A hybrid approach

Shobha,

Narmadhai

2024

Optim Control Appl Methods

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This paper proposes a hybrid COA‐QNN approach for an interleaved KY converter with closed‐loop control for a single‐phase grid‐connected photovoltaic (PV) system. The proposed strategy combines both Cheetah Optimizer algorithm (COA) and Quantum Neural Network (QNN), and it is commonly named the COA‐QNN technique. The interleaved KY converter is connected in the converter side. The primary goal of the COA‐QNN technique is to enhance PQ while maximizing PV electricity being transferred to the grid. The proposed COA is utilized to identify the optimal closed‐loop controller enhancements for on‐grid solar photovoltaic systems. The QNN is used to predict the optimal control parameter. The PV‐interleaved KY converter is managed by a predictive control mechanism to carry out both tasks of PQ enhancement. By then the COA‐QNN technique is implemented on the MATLAB platform and compared with existing methods. Finally, the proposed method shows better results in all methods, such as GWO, FF optimization and combined GWO‐FF.

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Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments

Bouguerra,

Badoud,

Mekhilef

et al. 2024

Sci Rep

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This study looks into how to make proton exchange membrane (PEM) fuel cells work more efficiently in environments that change over time using new Maximum Power Point Tracking (MPPT) methods. We evaluate the efficacy of Flying Squirrel Search Optimization (FSSO) and Cuckoo Search (CS) algorithms in adapting to varying conditions, including fluctuations in pressure and temperature. Through meticulous simulations and analyses, the study explores the collaborative integration of these techniques with boost converters to enhance reliability and productivity. It was found that FSSO consistently works better than CS, achieving an average increase of 12.5% in power extraction from PEM fuel cells in a variety of operational situations. Additionally, FSSO exhibits superior adaptability and convergence speed, achieving the maximum power point (MPP) 25% faster than CS. These findings underscore the substantial potential of FSSO as a robust and efficient MPPT method for optimizing PEM fuel cell systems. The study contributes quantitative insights into advancing green energy solutions and suggests avenues for future exploration of hybrid optimization methods.

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Self-Adaptive PI-FLC for BLDC Motor Speed Supplied by PEM Fuel Cell Stack Optimized by MPPT

Cited by 3 publications

References 27 publications

Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System

Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System

Enhancing performance of interleaved KY converter control in single phase grid‐tied PV systems: A hybrid approach

Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments

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