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Chen Renliang

Researcher at Nanjing University of Aeronautics and Astronautics

Publications -  7
Citations -  34

Chen Renliang is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Aerodynamics & Fuselage. The author has an hindex of 3, co-authored 7 publications receiving 29 citations.

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A Mathematical Model for Helicopter Comprehensive Analysis

TL;DR: In this paper, a new mathematical model for helicopter comprehensive analysis with the features of flexibility and mathematical simplicity is presented, which synthesizes the rigid fuselage motion model with 6 degrees of freedom, coupled flap-lag-torsion elastic rotor blade motion model, unsteady aerodynamics model with dynamic stall and high order generalized dynamic wake model.

Flight dynamics characteristic of tilt rotor aircraft

TL;DR: In this paper, a flight dynamics model of the tilt rotor aircraft was established based on the research into the aerodynamic of the rotors,wing, fuselage, nacelle,empennage and control system.

Identification Method for Helicopter Fully Coupled Flight Dynamics Model in Hover Condition

TL;DR: In this article, a method based on the set-membership identification theory for the parameter identification of a helicopter fully coupled flight dynamics model is presented, which can enhance identification accuracy, speed and robustness.

Effect of Reverse Flow Region on Characteristics of Compound High Speed Helicopter Rotor

TL;DR: In this article, a method to predict the aerodynamic characteristics of a rotor at high advanced ratio is proposed which takes into consideration the particularity of the compound high speed helicopter rotor with a severe reverse flow region.
Journal Article

Identification method of longitudinal and lateral coupled dynamic model for helicopter

TL;DR: In this article, a multi-step identification algorithm is constructed and proper cost function is selected to solve ill problem of information matrix caused by severe coupling, large differentiation of sensitivity and large amount of identification parameters in full coupled dynamic model.