Jaya optimization algorithm implemented on a new novel design of 6-DOF AUV body: a case study

The novel Jaya Optimization Algorithm (JOA) was utilized in this research to evaluate the efficiency of a new novel design of Autonomous Underwater Vehicle (AUV). The Three Proportional Integral Derivative (PID) controllers were used to obtain the optimum output for the AUV Trajectory, which can be...

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Veröffentlicht in:Multimedia tools and applications Jg. 84; H. 29; S. 35151 - 35176
Hauptverfasser: Basil, Noorulden, Marhoon, Hamzah M., Gokulakrishnan, S., Buddhi, Dharam
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.09.2025
Springer Nature B.V
Schlagworte:
1231: IoT-driven Computer Vision Technology for Smart Transportation Applications
Algorithms
Autonomous underwater vehicles
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Degrees of freedom
Kinematics
Mathematical models
Multimedia Information Systems
Optimization
Proportional integral derivative
Special Purpose and Application-Based Systems
Trajectories
Vehicles
Jaya optimization algorithm
PID controller
6-DOF AUV body
Trajectory control
Autonomous underwater vehicle
ISSN:1573-7721, 1380-7501, 1573-7721
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Zusammenfassung:The novel Jaya Optimization Algorithm (JOA) was utilized in this research to evaluate the efficiency of a new novel design of Autonomous Underwater Vehicle (AUV). The Three Proportional Integral Derivative (PID) controllers were used to obtain the optimum output for the AUV Trajectory, which can be considered as a main side of the research for solving the AUV Performance. The optimization technique has been developed to solving the motion model of the AUV in order to reduce the rotations of trajectory for the AUV 6-DOF Body in the axis’s in x, y and z for the overall positions, velocity were measured in 50 seconds as the velocity compared with the simulated time, and to execute the optimum output for the dynamic kinematics model based on the Novel Euler-6 DOF AUV Body Equation implemented on MATLAB R2021a Version.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1573-7721
1380-7501
1573-7721
DOI:10.1007/s11042-022-14293-x