Identification and Analysis of Dynamic Inflow Model for Hovering Coaxial Rotors on Mars
Chaoqun Zhang, Yi Wei, Rui Zu, Yongxin Guo, Jianbo LiRotor dynamic inflow modeling is essential for rotorcraft flight dynamics analysis and control, particularly under the rarefied Martian atmospheric conditions. This study develops a reduced-order state-space dynamic inflow model for Mars coaxial rotors based on the Pitt–Peters formulation, incorporating aerodynamic coupling between the upper and lower rotors. High-fidelity unsteady aerodynamic responses are obtained using the viscous vortex particle method (VVPM), whose steady aerodynamic predictions are evaluated against experiments conducted under simulated low-density conditions. A two-stage identification strategy is adopted to reduce the number of simultaneously estimated parameters. The isolated-rotor inflow parameters are first identified and subsequently retained as fixed diagonal blocks, while the additional inter-rotor coupling parameters are identified from coaxial rotor responses. The identified model exhibits transient inflow characteristics that differ from those predicted by the conventional Pitt–Peters model and reproduces the main dynamic responses obtained from VVPM. Under the investigated Martian hovering conditions, the model yields normalized root mean square errors of 4.12% and 4.86% for the isolated-rotor and coaxial rotor identification cases, respectively. The steady thrust reductions in the upper and lower rotors are approximately 10.3% and 20.7%, respectively, relative to their corresponding isolated-rotor conditions, indicating stronger aerodynamic interference on the lower rotor. These results demonstrate the potential of the proposed identification approach to characterize asymmetric coaxial rotor inflow coupling within a reduced-order framework under the prescribed hovering conditions.