Performance analysis of hybrid optimization approach for UAV path planning control using FOPID-TID controller and HAOAROA algorithm
Mustansiriyah University · Nahrain University · +3 more institutions
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,…
Citation impact
- FWCI
- 43.73
- Percentile
- 100%
- References
- 68
Authors
8Topics & keywords
- Computer science
- Trajectory
- Smoothness
- Algorithm
- Controller (irrigation)
- Trajectory optimization
- Subroutine
- Stability (learning theory)