Tail-Sitter UAV Transition Trajectory Optimization Through a Multi-objective Evolutionary Algorithm

Gan，Zikang1,2; Wu，Yongliang1; Yang，Shuanghua2; Shan，Xiaowen1

10.1007/978-981-19-6613-2_492

2023

1876-1100

1876-1119

Lecture Notes in Electrical Engineering

845 LNEE

5092-5102

Vertical takeoff and landing (VTOL) tail-sitter unmanned aerial vehicles (UAVs) with advantages of multirotor UAVs and fixed-wing UAVs, facing the challenge of transition control, attracts much attention. The typical formulation to represent the transition optimization, which consists of a single-objective function and several constraints functions, is inflexible and rigid. This article designs a three-objectives function to minimize the change of height, the transition endurance and the cost of energy. A multi-objective evolutionary algorithm (MOEA) is applied for the transition optimization of a simplified three-degree-of-freedom dynamic model. The simulation results include the solutions by the typical formulation through an open-source software “OptimTraj” and the solutions by the proposed three-objective formulation through the MOEA. The latter performs better at the change of height with little more energy consumption, compared with the former.

Multi-objective optimization Tail-sitter Transition optimization Vertical takeoff and landing (VTOL) unmanned aerial vehicle (UAV)

First ; Corresponding

English

2-s2.0-85151137480

Scopus

1.Department of Mechanics and Aerospace Engineering,Southern University of Science and Technology,ShenZhen,China
2.Department of Computer Science and Engineering,Southern University of Science and Technology,ShenZhen,China

Gan，Zikang,Wu，Yongliang,Yang，Shuanghua,et al. Tail-Sitter UAV Transition Trajectory Optimization Through a Multi-objective Evolutionary Algorithm[C],2023:5092-5102.