Back to Search
Start Over
Three-dimensional path planning of unmanned aerial vehicle under complicated environment
- Source :
- 2016 Chinese Control and Decision Conference (CCDC).
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Simulation of unmanned aerial vehicle (UAV) flight environment is one of the key technologies in three-dimensional path planning. We adopt efficient intelligent algorithm for path planning in the simulation environment. Basic ant colony algorithm is easy to reach local optimum prematurely with slow convergence speed and long computing time. In this paper, information of the shortest distance is sent to the system for controlling, and optimize the node selection method by improving the calculation of state transition probability. In addition, the local updating rules are improved in order to improve the efficiency of the algorithm. The simulation results show that the improved ant colony algorithm is used to meet the requirements of the unmanned aerial vehicle flight track.
- Subjects :
- 020301 aerospace & aeronautics
0209 industrial biotechnology
Engineering
business.industry
Node (networking)
Ant colony optimization algorithms
Real-time computing
02 engineering and technology
Solid modeling
ComputingMethodologies_ARTIFICIALINTELLIGENCE
law.invention
020901 industrial engineering & automation
Local optimum
0203 mechanical engineering
law
State transition probability
Key (cryptography)
Motion planning
Radar
business
Simulation
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 Chinese Control and Decision Conference (CCDC)
- Accession number :
- edsair.doi...........c4f12cf1f086b22e5437bd41929c3d4b