TY - JOUR
T1 - Distributed formation control of multiple aerial vehicles based on guidance route
AU - CHEN, Jinyong
AU - ZHOU, Rui
AU - SUN, Guibin
AU - LI, Qingwei
AU - ZHANG, Ning
N1 - Publisher Copyright:
© 2022 Chinese Society of Aeronautics and Astronautics
PY - 2023/3
Y1 - 2023/3
N2 - Formation control of fixed-wing aerial vehicles is an important yet rarely addressed problem because of their complex dynamics and various motion constraints, such as nonholonomic and velocity constraints. The guidance-route-based strategy has been demonstrated to be applicable to fixed-wing aircraft. However, it requires a global coordinator and there exists control lag, due to its own natures. For this reason, this paper presents a fully distributed guidance-route-based formation approach to address the aforementioned issues. First, a hop-count scheme is introduced to achieve distributed implementation, in which each aircraft chooses a neighbor with the minimum hop-count as a reference to generate its guidance route using only local information. Next, the model predictive control algorithm is employed to eliminate the control lag and achieve precise formation shape control. In addition, the stall protection and collision avoidance are also considered. Finally, three numerical simulations demonstrate that our proposed approach can implement precise formation shape control of fixed-wing aircraft in a fully distributed manner.
AB - Formation control of fixed-wing aerial vehicles is an important yet rarely addressed problem because of their complex dynamics and various motion constraints, such as nonholonomic and velocity constraints. The guidance-route-based strategy has been demonstrated to be applicable to fixed-wing aircraft. However, it requires a global coordinator and there exists control lag, due to its own natures. For this reason, this paper presents a fully distributed guidance-route-based formation approach to address the aforementioned issues. First, a hop-count scheme is introduced to achieve distributed implementation, in which each aircraft chooses a neighbor with the minimum hop-count as a reference to generate its guidance route using only local information. Next, the model predictive control algorithm is employed to eliminate the control lag and achieve precise formation shape control. In addition, the stall protection and collision avoidance are also considered. Finally, three numerical simulations demonstrate that our proposed approach can implement precise formation shape control of fixed-wing aircraft in a fully distributed manner.
KW - Fixed-wing aircraft
KW - Formation shape control
KW - Guidance route
KW - Hop-count estimation
KW - Model predictive control
UR - https://www.scopus.com/pages/publications/85147099590
U2 - 10.1016/j.cja.2022.11.014
DO - 10.1016/j.cja.2022.11.014
M3 - 文章
AN - SCOPUS:85147099590
SN - 1000-9361
VL - 36
SP - 368
EP - 381
JO - Chinese Journal of Aeronautics
JF - Chinese Journal of Aeronautics
IS - 3
ER -