Maximum Power Point Tracking for Solar Photovoltaic System Based on Interval Type-3 Fuzzy Logic: Practical Validation

Hamdy, Mohamed; Ibrahim, Amal M.; Abozalam, Belal; Helmy, Salah

doi:10.1080/15325008.2023.2188316

Cited by 11 publications

(1 citation statement)

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“…The nonlinear functions are estimated by T3-FLS, as shown in Figure 3. T3-FLSs show better performance in the face of nonlinear problems [37]. In this section, the structure is explained, and rules are optimized.…”

Section: Type-3 Fuzzy Estimatormentioning

confidence: 99%

An Observer-Based Type-3 Fuzzy Control for Non-Holonomic Wheeled Robots

Bie,

Li,

Chen

et al. 2023

Symmetry

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Non-holonomic wheeled robots (NWR) comprise a type of robotic system; they use wheels for movement and offer several advantages over other types. They are efficient, highly, and maneuverable, making them ideal for factory automation, logistics, transportation, and healthcare. The control of this type of robot is complicated, due to the complexity of modeling, asymmetrical non-holonomic constraints, and unknown perturbations in various applications. Therefore, in this study, a novel type-3 (T3) fuzzy logic system (FLS)-based controller is developed for NWRs. T3-FLSs are employed for modeling, and the modeling errors are considered in stability analysis based on the symmetric Lyapunov function. An observer is designed to detect the error, and its effect is eliminated by a developed terminal sliding mode controller (SMC). The designed technique is used to control a case-study NWR, and the results demonstrate the good accuracy of the developed scheme under non-holonomic constraints, unknown dynamics, and nonlinear disturbances.

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Section: Type-3 Fuzzy Estimatormentioning

confidence: 99%