A MANEUVER-BASED MOTION PLANNING APPROACH FOR UAVS BY PARTICLE SWARM OPTIMIZATION METHOD

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KARIMI J.; POURTAKDOUST S.H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Aerospace Mechanics Year:2016 | Volume:12 | Issue:1 (43) (DYNAMICS, VIBRATIONS AND CONTROL) Page(s): 21-27

Download Full-Text

Persian Verion

View:

769

Download:

Cites:

Information Journal Paper

Title

A MANEUVER-BASED MOTION PLANNING APPROACH FOR UAVS BY PARTICLE SWARM OPTIMIZATION METHOD

Author(s)

KARIMI J. | POURTAKDOUST S.H. | Issue Writer Certificate

Keywords

MOTION PLANNINGQ1

PARTICLE SWARM OPTIMIZATIONQ2

TERRAIN OBSTACLESQ2

THREAT ZONEQ1

Abstract

Improvements in the level of autonomy of unmanned air vehicles (UAVs) are highly desirable and under pursuit by many researchers. The MOTION PLANNING problem is one of the vital issues for autonomous vehicles. In MOTION PLANNING, a trajectory is provided for the vehicle from a known location to a predefined target point. In order to provide feasible trajectories, one needs to consider the vehicle performance and dynamic constraints. In this regard, in the current research, by utilizing the nonlinear dynamic model and performance and dynamic capabilities of the vehicle, feasible trajectories are generated. PARTICLE SWARM OPTIMIZATION method is enhanced to handle the MOTION PLANNING problem. Evaluation of the proposed algorithm, via simulating various scenarios, reveals its capability in generating optimal trajectories through terrain and threat obstacles.

Cites

No record.

References

No record.

Cite

APA: Copy

KARIMI, J., & POURTAKDOUST, S.H.. (2016). A MANEUVER-BASED MOTION PLANNING APPROACH FOR UAVS BY PARTICLE SWARM OPTIMIZATION METHOD. AEROSPACE MECHANICS JOURNAL, 12(1 (43) (DYNAMICS, VIBRATIONS AND CONTROL)), 21-27. SID. https://sid.ir/paper/102020/en

Vancouver: Copy

KARIMI J., POURTAKDOUST S.H.. A MANEUVER-BASED MOTION PLANNING APPROACH FOR UAVS BY PARTICLE SWARM OPTIMIZATION METHOD. AEROSPACE MECHANICS JOURNAL[Internet]. 2016;12(1 (43) (DYNAMICS, VIBRATIONS AND CONTROL)):21-27. Available from: https://sid.ir/paper/102020/en

IEEE: Copy

J. KARIMI, and S.H. POURTAKDOUST, “A MANEUVER-BASED MOTION PLANNING APPROACH FOR UAVS BY PARTICLE SWARM OPTIMIZATION METHOD,” AEROSPACE MECHANICS JOURNAL, vol. 12, no. 1 (43) (DYNAMICS, VIBRATIONS AND CONTROL), pp. 21–27, 2016, [Online]. Available: https://sid.ir/paper/102020/en

Related Journal Papers