Personal Homepage

Personal Information

MORE+



Supervisor of Master's Candidates

E-Mail:

Date of Employment:2024-09-05

School/Department:Hangzhou International Innovation Institute

Business Address:Hangzhou international campus, R3 2112

Gender:Male

Status:Employed

Alma Mater:Beihang University

Discipline:Aeronautical and Astronautical Science and Technology
Control Science and Engineering
Transportation Engineering

WANG Mingkai

+

Gender:Male

Alma Mater:Beihang University

Paper

Current position: Home / Paper
Multi-resolution Trajectory Optimization of eVTOL Aircraft Using Capacity Collocation

Journal:ICGNC 2022: Advances in Guidance, Navigation and Control
Key Words:Electric aircraft, VTOL, Battery, Trajectory optimization, Mesh refinement
Abstract:Electric vertical takeoff and landing (eVTOL) aircraft has advantages of cleaner, quieter, and more comfortable flight over its conventional counterpart, but suffers from lower endurance due to the limit of current battery technology. Efficient trajectory planning is thus required to extend the application scenarios. Hence, this paper proposes a “capacity collocation” scheme to improve the efficiency of trajectory optimization. First, the system dynamics is reformulated on the capacity domain, which transforms time-derivatives to capacity-derivatives. The reformulation yields a reduced-order optimal control problem solved by a multi-resolution direct collocation method. The non-uniform discretization grid nodes are selected according to a density function based on the discharging curve of lithium-ion batteries. The efficacy of the proposed method is verified by comparison with the collocation method, which demonstrates that the proposed method is advantageous in terms of accuracy and efficiency.
Indexed by:Essay collection
First-Level Discipline:Aeronautical and Astronautical Science and Technology
Document Type:Conference
Volume:845
Page Number:739-749
Translation or Not:no
Date of Publication:2023-01-31
Included Journals:EI
Links to published journals:https://link.springer.com/chapter/10.1007/978-981-19-6613-2_74