TY - GEN
T1 - Establishment of UAV formation flight using control Vector parameterization and sequential convex programming
AU - Guo, Juan
AU - Chu, Jing
AU - Yan, Jie
N1 - Publisher Copyright:
© 2016 TCCT.
PY - 2016/8/26
Y1 - 2016/8/26
N2 - Formation flight of multiple Unmanned Aerial Vehicles (UAVs) could provide an effective, efficient yet low cost alternative to existing technologies. This paper addresses the energy-optimal establishment of UAV formation flight that shall satisfy final configuration constraints. First, the problem of formation establishment is formulated as an energy-optimal control problem which is constrained by the nonlinear dynamics. Then, the optimal control problem is solved using a direct method. In this direct method the original problem is transcribed into a sequence of convex optimization problems via the control vector parameterization approach. After that, the sequential convex programming (SCP) technology is employed to derive the optimal solution. Essentially, each instance of SCP is a quadratic programming problem subject to linear constraints that can be solved very efficiently. In the end, the proposed method is applied to the establishment of V formation for three UAVs, where the free open source solver CVX is exploited. By comparison with the global optimization technique provided in MATLAB, the solution converges very fast to the global minimum.
AB - Formation flight of multiple Unmanned Aerial Vehicles (UAVs) could provide an effective, efficient yet low cost alternative to existing technologies. This paper addresses the energy-optimal establishment of UAV formation flight that shall satisfy final configuration constraints. First, the problem of formation establishment is formulated as an energy-optimal control problem which is constrained by the nonlinear dynamics. Then, the optimal control problem is solved using a direct method. In this direct method the original problem is transcribed into a sequence of convex optimization problems via the control vector parameterization approach. After that, the sequential convex programming (SCP) technology is employed to derive the optimal solution. Essentially, each instance of SCP is a quadratic programming problem subject to linear constraints that can be solved very efficiently. In the end, the proposed method is applied to the establishment of V formation for three UAVs, where the free open source solver CVX is exploited. By comparison with the global optimization technique provided in MATLAB, the solution converges very fast to the global minimum.
KW - Control Vector Parameterization
KW - Optimal Control
KW - Sequential Convex Programming
KW - UAV formation flight
UR - http://www.scopus.com/inward/record.url?scp=84987852366&partnerID=8YFLogxK
U2 - 10.1109/ChiCC.2016.7553749
DO - 10.1109/ChiCC.2016.7553749
M3 - 会议稿件
AN - SCOPUS:84987852366
T3 - Chinese Control Conference, CCC
SP - 2559
EP - 2564
BT - Proceedings of the 35th Chinese Control Conference, CCC 2016
A2 - Chen, Jie
A2 - Zhao, Qianchuan
A2 - Chen, Jie
PB - IEEE Computer Society
T2 - 35th Chinese Control Conference, CCC 2016
Y2 - 27 July 2016 through 29 July 2016
ER -