OPTIMAL FLIGHT TRAJECTORY PLANNING USING IMPROVED EVOLUTIONARY METHOD FOR UCAV NAVIGATION IN 3D CONSTRAINED ENVIRONMENTS

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.

HEIDARI A.A.; ABBASPOUR R.ALI

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

Seminar Paper

Paper Information

Seminar: CONFERENCE OF IRANIAN AEROSPACE SOCIETY
Year:2014 | Issue:13

Download Full-Text

View:

137

Download:

Information Seminar Paper

Title

OPTIMAL FLIGHT TRAJECTORY PLANNING USING IMPROVED EVOLUTIONARY METHOD FOR UCAV NAVIGATION IN 3D CONSTRAINED ENVIRONMENTS

Author(s)

HEIDARI A.A. | ABBASPOUR R.ALI | Issue Writer Certificate

Keywords

UNMANNED COMBAT AERIAL VEHICLE (UCAV)

FLIGHT SIMULATION

3D TRAJECTORY PLANNING

IMPERIALIST COMPETITIVE ALGORITHM

Abstract

THIS ARTICLE ADDRESSES A NEW APPROACH TO 3D PATH PLANNING OF UCAVS. TO SOLVE THIS NP-HARD PROBLEM, IMPERIALIST COMPETITIVE ALGORITHM (ICA) WAS EXTENDED FOR PATH PLANNING PROBLEM. THIS RESEARCH IS RELATED TO FINDING OPTIMAL TRAJECTORIES BEFORE UCAV MISSIONS. DEVELOPED PLANNER PROVIDES 3D OPTIMAL PATHS FOR UCAV FLIGHT WITH REAL DTM OF TEHRAN ENVIRONMENT. IN UCAV MISSION, FINAL COMPUTED PATHS SHOULD BE SMOOTH THAT MADE THE PATH PLANNING PROBLEMS CONSTRAINED. THIS PLANNER CAN OFFER FLYABLE 3D PATHS BASED ON MISSION REQUIREMENTS. IT’S A COMPREHENSIVE STUDY FOR EFFICIENCY EVALUATION OF EA PLANNERS, AND THEN NOVEL APPROACH WILL BE PROPOSED AND COMPARED TO ICA, GA, ABC AND PSO ALGORITHMS. THEN PATH PLANNING TASK OF UCAV IS PERFORMED. SIMULATIONS SHOW ADVANTAGE OF PROPOSED METHODOLOGY.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

HEIDARI, A.A., & ABBASPOUR, R.ALI. (2014). OPTIMAL FLIGHT TRAJECTORY PLANNING USING IMPROVED EVOLUTIONARY METHOD FOR UCAV NAVIGATION IN 3D CONSTRAINED ENVIRONMENTS. CONFERENCE OF IRANIAN AEROSPACE SOCIETY. SID. https://sid.ir/paper/947787/en

Vancouver: Copy

HEIDARI A.A., ABBASPOUR R.ALI. OPTIMAL FLIGHT TRAJECTORY PLANNING USING IMPROVED EVOLUTIONARY METHOD FOR UCAV NAVIGATION IN 3D CONSTRAINED ENVIRONMENTS. 2014. Available from: https://sid.ir/paper/947787/en

IEEE: Copy

A.A. HEIDARI, and R.ALI ABBASPOUR, “OPTIMAL FLIGHT TRAJECTORY PLANNING USING IMPROVED EVOLUTIONARY METHOD FOR UCAV NAVIGATION IN 3D CONSTRAINED ENVIRONMENTS,” presented at the CONFERENCE OF IRANIAN AEROSPACE SOCIETY. 2014, [Online]. Available: https://sid.ir/paper/947787/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops