| Citation: | Duan Dengyan, Zhang Zijun, Liu Shaobing, et al. State-space inflow model identification for tandem rotor based on viscous vortex particle method[J]. Journal of Aerospace Power, 2026, 41（7）：20250014 doi: 10.13224/j.cnki.jasp.20250014
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When aerodynamic inflow interference exists between the rotors of a multi-rotor aircraft, the flight simulation model often struggles to achieve both real-time performance and high fidelity. To address this issue, considering both computational complexity and accuracy, a rotor state-space inflow model identification method based on the viscous vortex particle approach was proposed using tandem rotors as an example. Based on the Peters-He finite state induced inflow model, a pressure potential superposition method was introduced to establish a coupled state-space inflow model for tandem rotors. By applying predefined sweep force functions and extracting the inflow states of the tandem rotors, the original data for identifying the state-space inflow model were obtained using the viscous vortex particle method. On this basis, a multivariable output-error state-space model identification method was introduced, forming the inflow model identification approach for the tandem rotor. Taking a small tandem rotor configuration as an example, the state-space inflow model identification for hover at an advance ratio of 0.1 was conducted, validating the effectiveness and feasibility of the proposed identification method. And the identification results indicated that the quasi-steady inflow and first-order longitudinal inflow of the fore and aft rotors exhibited cross-interference, with more significant interference occurring at an advance ratio of 0.1. Besides, the first-order lateral inflow of the fore rotor affected the aft rotor only in forward flight, while the first-order lateral inflow of the aft rotor had negligible interference on the fore rotor.
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