DocumentCode :
185705
Title :
MPC and SADE for UAV real-time path planning in 3D environment
Author :
Qiang Wang ; An Zhang ; Hai Yang Sun
Author_Institution :
Sch. of Electrons Inf., Northwestern Polytech. Univ., Xi´an, China
fYear :
2014
fDate :
18-19 Oct. 2014
Firstpage :
130
Lastpage :
133
Abstract :
This paper proposed a method of real-time path planning for UAV based on model predictive control and self adaptive differential evolutionary algorithm First the model of three-dimensional path planning of UAV was built by model predictive control Then the encoding method based on deflection angle was given. The constraints were combined with the self adaptive differential evolutionary algorithm to make the path more rational and the searching more efficiently. The simulation analyses showed that the method of path planning is available and efficient, that could satisfy the requirements of terrain following and threat avoidance.
Keywords :
adaptive control; autonomous aerial vehicles; evolutionary computation; path planning; predictive control; 3D environment; 3D path planning; MPC; SADE; UAV real-time path planning; model predictive control; self-adaptive differential evolutionary algorithm; terrain following; threat avoidance; Multi-layer neural network; UAV; model predictive control; real-time path planning; self adaptive differential evolutionary algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4799-5352-3
Type :
conf
DOI :
10.1109/SPAC.2014.6982672
Filename :
6982672
Link To Document :
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