Abstract
Aerial-ground platforms have the characteristics of both rotor UAV and unmanned vehicle, and have better adaptability for various indoor and outdoor complex environments. However, different operating environments have different requirements for aerodynamic performance such as rotor lift and hovering efficiency. A single leaf type is difficult to meet these differentiated requirements. To solve this problem, based on the class function/shape function (CST) method, a Bernstein polynomial was used to parametrically express the airfoil chord length, torsion angle and the position of the rotor leading edge position along the radial direction to achieve the original rotor blade shape. Three-dimensional parameter modeling and reconstruction, and then numerical methods were used to analyze the sensitivity of key blade profile parameters to aerodynamic performance. The calculation results show that the chord length and torsion angle near the wing tip had a greater impact on the aerodynamic performance, and there was an obvious interaction effect between the chord length and the torsion angle. With lift and quality factor as the goal, the original rotor blade was designed with multi-objective optimization and experimented. The test results show that the rotor lift coefficient of the high-lift blade profile was increased by 13.2%, and the rotor quality factor of the high-quality factor blade profile was increased by 37.8%. The optimization method of the three-dimensional parameterization of the blade profile based on the combination of Bernstein polynomial and CST can effectively improve aerodynamic performance indicators such as rotor lift or quality factor.
Translated title of the contribution | Multi-Objective Optimization of Rotor Blade Aerodynamic Performance of Aerial-Ground Platform |
---|---|
Original language | Chinese (Traditional) |
Pages (from-to) | 842-849 |
Number of pages | 8 |
Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
Volume | 42 |
Issue number | 8 |
DOIs | |
Publication status | Published - Aug 2022 |