2022
DOI: 10.1007/s11042-022-14293-x
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(1 citation statement)
references
References 34 publications
0
1
0
Order By: Relevance
“…AUV (Autonomous et al) operates underwater and is affected by unknown factors such as depth, pressure, and ocean currents [8,9], which are not calculated accurately; even the kinetic properties of AUV are constant over time, such as material loss, ship weight, change in ship center of gravity [10,11]. Improving the quality of trajectory tracking control of AUVs requires the use of modern nonlinear control theory [12,13].…”
Section: Introductionmentioning
confidence: 99%
“…AUV (Autonomous et al) operates underwater and is affected by unknown factors such as depth, pressure, and ocean currents [8,9], which are not calculated accurately; even the kinetic properties of AUV are constant over time, such as material loss, ship weight, change in ship center of gravity [10,11]. Improving the quality of trajectory tracking control of AUVs requires the use of modern nonlinear control theory [12,13].…”
Section: Introductionmentioning
confidence: 99%