Evidence map›Paper›PMID 39924550›Full record

ArticleScientific reports2025

Performance analysis of hybrid optimization approach for UAV path planning control using FOPID-TID controller and HAOAROA algorithm.

Noorulden Basil, Abdullah Fadhil Mohammed, Bayan Mahdi Sabbar, Hamzah M Marhoon, Adis Abebaw Dessalegn, Mohammad Alsharef, Enas Ali, Sherif S M Ghoneim

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Noorulden BasilDepartment of Electrical Engineering, College of Engineering, Mustansiriyah University, Baghdad, Iraq. noorulden@uomustansiriyah.edu.iq.
Abdullah Fadhil MohammedDepartment of Electrical Engineering, College of Engineering, Mustansiriyah University, Baghdad, Iraq.
Bayan Mahdi SabbarCollege of Engineering and Engineering Techniques, Al-Mustaqbal University, Babylon, Iraq.
Hamzah M MarhoonDepartment of Automation Engineering and Artificial Intelligence, College of Information Engineering, Al-Nahrain University, Jadriya, Baghdad, Iraq.
Adis Abebaw DessalegnDepartment of Electrical and Computer Engineering, Faculty of Technology, Debre Markos University, P. O. Box 269, Debre Markos, Ethiopia. addis_abebaw@dmu.edu.et.
Mohammad AlsharefDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. BOX 11099, Taif, 21944, Saudi Arabia.
Enas AliCentre for Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India.
Sherif S M GhoneimDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. BOX 11099, Taif, 21944, Saudi Arabia.

Funding

Taif University, Taif, Saudi Arabia TU-DSPP-2024-14
6 · The paper itself

Abstract

In this study, we present a comparative analysis of various trajectory optimization algorithms for Unmanned Aerial Vehicles (UAVs) navigating complex environments. The performance of the proposed FOPID-TID based HAOAROA (Hybrid Archimedes Optimization Algorithm-Rider Optimization Algorithm) is evaluated against traditional methods such as A*, JPS, Bezier, and L-BSGF algorithms. The FOPID-TID based HAOAROA approach integrates the advantages of fractional-order control with hybrid optimization techniques to improve UAV trajectory planning. Simulation results indicate that the proposed method carries significantly better performance than the traditional algorithms with respect to trajectory length, smoothness, and overall stability. Remarkably, the FOPID-TID based HAOAROA yields a 10% reduced trajectory length that is smoother than traditional methods while also being more computationally efficient. By using fractional-order parameters, the dynamic response becomes better and better in more challenging environments. This shows that disturbance rejection and control precision using the FOPID-TID based HAOAROA are much superior to the original two subroutines. The applications presented in this study allow future growth in UAV control system improvements and provide proof of concept of hybrid optimization in improving the performance of UAVs in dynamic, complex environments.

Indexed as

FOPID-TID ControllerHAOAROAHybrid ApproachTrajectory optimizationUAV

Identifiers

PMID39924550
PMCPMC11808095

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.