Fuzzy Logic Controller for Aviation Parking with 5G Communication Technology

Saqlain, Muhammad; Saeed, Muhammad

doi:10.1007/978-3-030-75067-1_3

Cited by 3 publications

(4 citation statements)

References 34 publications

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“… In this study, we selected three decision-makers to evaluate criteria and alternatives. The criteria are collected from previous studies, interviews, and questionnaires [ 13 , 14 , 18 , 19 ]. In this study, we used ten criteria and seven alternatives.…”

Section: Case Studymentioning

confidence: 99%

“…Peng et al [ 14 ] introduced a Pythagorean fuzzy MCDM technique based on COCOSO and CRITIC with a scoring function for controlling uncertainty in the 5G industry evaluation. In addition, Saqlain and Saeed [ 18 ] have described a fuzzy logic controller for airport parking that utilizes 5G communication technologies. In addition, Kumar and Nagarajan [ 19 ] presented a study on the implementation and performance measurement of fuzzy AHP for resource allocation in 5G.…”

Section: Introductionmentioning

confidence: 99%

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Extension of simple multi-attribute rating technique in uncertainty environment for 5G industry evaluation: Egyptian new administrative capital as a case study

Mohamed,

Ali,

Abdel-Basset

et al. 2024

Heliyon

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Section: Case Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extension of simple multi-attribute rating technique in uncertainty environment for 5G industry evaluation: Egyptian new administrative capital as a case study

Mohamed,

Ali,

Abdel-Basset

et al. 2024

Heliyon

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“…For a better classification process, an innovative classification process is proposed by creating an optimal rule in the neutrophic cluster in [11]. A study was conducted on parking airplanes without human intervention by taking the membership values of the FLC as a neutrophic number in [12]. Studies have been conducted in the literature on the use of neutrophic logic in control applications [13,14].…”

Section: Introductionmentioning

confidence: 99%

Neutrosophic Valued PID Controller for Closed Loop V/f Speed Control of Permanent Magnet Synchronous Motor

Haçat

Çetinceviz

2023

NÖHÜ Müh. Bilim. Derg.

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In this article, a neutrophic logic-based closed loop V/f control system has been established by creating a fuzzy inference system and a neutrophic fuzzy logic controller (NFLC) in Matlab. Also, the NFLC-PID block diagram has been established to test in a Simulink environment with permanent magnet synchronous motor (PMSM). The simulation results demonstrate that the neutrosophic fuzzy logic controller managed the PMSM efficiently and successfully.

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“…DSmT combined with Extenics is used to manage decision making [ 20 ] and provides excellent results by combining the mapping process of Extension logic with the sensor fusion of DSmT in uncertain and contradictory conditions. As an extension of fuzzy logic, neutrosophic logic and DSmT have been used by researchers to develop applications [ 26 ] for aviation parking [ 27 ], multi-UAV surveillance [ 28 ], obstacle avoidance in unknown environments [ 29 ], and environmental detection and estimation [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

The Hybrid Position/Force Walking Robot Control Using Extenics Theory and Neutrosophic Logic Decision

Gal

Ciocîrlan

Vlădăreanu

2022

Sensors

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This paper presents a hybrid force/position control. We developed it for a hexapod walking robot that combines multiple bipedal robots to increase its load. The control method integrated Extenics theory with neutrosophic logic to obtain a two-stage decision-making algorithm. The first stage was an offline qualitative decision-applying Extenics theory, and the second was a real-time decision process using neutrosophic logic and DSmT theory. The two-stage algorithm separated the control phases into a kinematic control method that used a PID regulator and a dynamic control method developed with the help of sliding mode control (SMC). By integrating both control methods separated by a dynamic switching algorithm, we obtained a hybrid force/position control that took advantage of both kinematic and dynamic control properties to drive a mobile walking robot. The experimental and predicted results were in good agreement. They indicated that the proposed hybrid control is efficient in using the two-stage decision algorithm to drive the hexapod robot motors using kinematic and dynamic control methods. The experiment presents the robot’s foot positioning error while walking. The results show how the switching method alters the system precision during the pendulum phase compared to the weight support phase, which can better compensate for the robot’s dynamic parameters. The proposed switching algorithm directly influences the overall control precision, while we aimed to obtain a fast switch with a lower impact on the control parameters. The results show the error on all axes and break it down into walking stages to better understand the control behavior and precision.

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Fuzzy Logic Controller for Aviation Parking with 5G Communication Technology

Cited by 3 publications

References 34 publications

Extension of simple multi-attribute rating technique in uncertainty environment for 5G industry evaluation: Egyptian new administrative capital as a case study

Extension of simple multi-attribute rating technique in uncertainty environment for 5G industry evaluation: Egyptian new administrative capital as a case study

Neutrosophic Valued PID Controller for Closed Loop V/f Speed Control of Permanent Magnet Synchronous Motor

The Hybrid Position/Force Walking Robot Control Using Extenics Theory and Neutrosophic Logic Decision

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