Rotorcraft flight dynamics model identification research at NUAA

Abstract

The system identification is a powerful tool for high fidelity flight dynamics modeling of flying vehicles. The research in this area at Nanjing University of Aeronautics and Astronautics during the past decade is presented. Four different kinds of identification methods both in time domain and frequency domain are discussed. The time domain technique is used to identify low order models with 6 degrees of freedom, and the frequency domain method is developed to identify high order models with 9 degrees of freedom. The conventional statistic identification technique and modern deterministic identification methods are developed for different purpose. The applications of these methods to both manned helicopters and unmanned air vehicles are introduced, and the linear flight dynamics models of helicopters as well as tilt-rotor aircraft are identified successfully.