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
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