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Analysis of Firefly–Fuzzy Hybrid Algorithm for Navigation of Quad-Rotor Unmanned Aerial Vehicle
| Content Provider | MDPI |
|---|---|
| Author | Patel, Brijesh Patle, Bhumeshwar |
| Copyright Year | 2020 |
| Description | In the present scenario for the development of the unmanned aerial vehicle (UAV), artificial intelligence plays an important role in path planning and obstacle detection. Due to different environments, it is always a task to achieve the proper moment for achieving the target goal while avoiding obstacles with minimum human interference. To achieve the goal with the avoidance of obstacles, individual optimization techniques with metaheuristic algorithms such as fuzzy, particle swarm optimization (PSO), etc. were implemented in various configurations. However, the optimal solution was not attained. Thus, in order to achieve an optimal solution, a hybrid model was developed by using the firefly algorithm and the fuzzy algorithm, establishing multiple features of the individual controller. The path and time optimization were achieved by a standalone controller and a hybrid firefly–fuzzy controller in different conditions, whereby the results of the controller were validated by simulation and experimental results, highlighting the advantages of the hybrid controller over the single controller. |
| Starting Page | 48 |
| e-ISSN | 24115134 |
| DOI | 10.3390/inventions5030048 |
| Journal | Inventions |
| Issue Number | 3 |
| Volume Number | 5 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-09-16 |
| Access Restriction | Open |
| Subject Keyword | Inventions Characterization and Testing of Materials Quadcopter Unmanned Aerial Vehicle Uav Firefly Fuzzy Logic Navigation |
| Content Type | Text |
| Resource Type | Article |
