TY - JOUR
T1 - Leader trajectory planning method considering constraints of formation controller
AU - Dongdong, Yao
AU - Xiaofang, Wang
AU - Hai, Lin
AU - Zhuping, Wang
N1 - Publisher Copyright:
© 1990-2011 Beijing Institute of Aerospace Information.
PY - 2023/10/1
Y1 - 2023/10/1
N2 - To ensure safe flight of multiple fixed-wing unmanned aerial vehicles (UAVs) formation, considering trajectory planning and formation control together, a leader trajectory planning method based on the sparse A∗ algorithm is introduced. Firstly, a formation controller based on prescribed performance theory is designed to control the transient and steady formation configuration, as well as the formation forming time, which not only can form the designated formation configuration but also can guarantee collision avoidance and terrain avoidance theoretically. Next, considering the constraints caused by formation controller on trajectory planning such as the safe distance, turn angle and step length, as well as the constraint of formation shape, a leader trajectory planning method based on sparse A∗ algorithm is proposed. Simulation results show that the UAV formation can arrive at the destination safely with a short trajectory no matter keeping the formation or encountering formation transformation.
AB - To ensure safe flight of multiple fixed-wing unmanned aerial vehicles (UAVs) formation, considering trajectory planning and formation control together, a leader trajectory planning method based on the sparse A∗ algorithm is introduced. Firstly, a formation controller based on prescribed performance theory is designed to control the transient and steady formation configuration, as well as the formation forming time, which not only can form the designated formation configuration but also can guarantee collision avoidance and terrain avoidance theoretically. Next, considering the constraints caused by formation controller on trajectory planning such as the safe distance, turn angle and step length, as well as the constraint of formation shape, a leader trajectory planning method based on sparse A∗ algorithm is proposed. Simulation results show that the UAV formation can arrive at the destination safely with a short trajectory no matter keeping the formation or encountering formation transformation.
KW - formation control
KW - formation shape
KW - formation transformation
KW - multiple constraints
KW - prescribed performance controller
KW - trajectory planning
UR - http://www.scopus.com/inward/record.url?scp=85176416087&partnerID=8YFLogxK
U2 - 10.23919/JSEE.2023.000079
DO - 10.23919/JSEE.2023.000079
M3 - Article
AN - SCOPUS:85176416087
SN - 1671-1793
VL - 34
SP - 1294
EP - 1308
JO - Journal of Systems Engineering and Electronics
JF - Journal of Systems Engineering and Electronics
IS - 5
ER -