Magnetic Flux Leakage Inversion Based on Antlion Algorithm

Huang, Fu-xing; Han, Wen-hua; Qu, Yi

doi:10.1109/fendt54151.2021.9749664

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…It is a sophisticated algorithm that debuted in [86]. The ALO algorithm offers several advantages over other optimization algorithms: simplicity, independence from derivations, independence from problems, and ideal local avoidance [86][87][88][89][90][91]. This paper integrates traditional control methods with intelligent ways to provide stability in the presence of the structural obstacles presented by inverters.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

Azarinfar,

Khosravi,

Soroush

et al. 2024

IET Power Electronics

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A type‐2 fuzzy logic‐based adaptive backstepping control (T2FABSC) approach is designed for an H‐bridge inverter. This inverter has an LC filter to decrease the level of total harmonic distortion (THD) that can affect the efficiency of the system. Reduction of THD and stability insurance of the filter are challenging trade‐offs, tackled here by a controller design. The performance, however, is not suitable for actual applications under a wider range of disturbances, and the parameters need to be adjusted once more for more dependable operations. Backstepping control is given a Lyapunov definition‐based adaptive mechanism that can improve this scheme's stability and robustness in the face of numerous disturbances. Additionally, the system is viewed as a “Black box” without the need for a precise mathematical model, which might lead to a lighter computing burden and simpler implementation. Moreover, a fuzzy type‐2 structure is adopted that can optimize the gains of the adaptive Backstepping controller (ABSC) in challenging conditions. The antlion optimization algorithm is employed to optimize the parameters of the membership functions in the fuzzy system, hence improving the performance of the controller. In addition, compared with different optimization algorithms, it can more quickly and accurately locate the best solutions. Finally, the findings of both the simulations and the experimental outputs are examined, proving the T2FABSC's significant robustness and faster dynamics in a variety of challenging circumstances.

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Section: Introductionmentioning

confidence: 99%

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

Azarinfar,

Khosravi,

Soroush

et al. 2024

IET Power Electronics

View full text Add to dashboard Cite

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A genetic algorithm with tabu search method for 3 dimensional detect profile reconstruction using MFL measurement

Gao,

Lu,

Yan

2024

Sci Rep

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In nondestructive testing, magnetic flux leakage (MFL) inspection is extensively employed for the inversion of pipeline defects. Exact reconstruction of the defect plane with measurements is a pressing issue in the field of MFL detection. This article proposes a method that incorporates a layer-by-layer genetic algorithm with tabu search (GA-TS). During the iterative process, our objective is to utilize a tabu search based on evolutionary algorithms to avoid local optimal solutions, obtain global optimal solutions, and reconstruct defects with enhanced accuracy. In addition to enhancing the accuracy of pipeline defect categorization, our approach has two significant limitations: its limited global search capability and slow convergence rate. Finally, the method is evaluated via experiments in which MFL signals obtained from an experimental platform and simulation signals are used. Practical results and a thorough comparative study of alternative approaches confirm the model’s superiority.

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Magnetic Flux Leakage Inversion Based on Antlion Algorithm

Cited by 2 publications

References 13 publications

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

A genetic algorithm with tabu search method for 3 dimensional detect profile reconstruction using MFL measurement

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