Total Least Squares Estimation of Aerodynamic Parameter of Micro Coaxial Helicopter from Flight Data

This paper discusses the estimation of the aerodynamic parameter in the mathematical model of the micro coaxial helicopter from the flight data. The mathematical model of the micro coaxial helicopter will be derived in which total aerodynamic and propulsion forces and moments are expressed in term of several state and control variables. The states and parameters in the model will be estimated using parameter estimation techniques. Since flight data are commonly corrupted with noise, the Kalman filter followied by the Total Least Squares will be applied for estimating the state and the parameter in the mathematical model of the micro coaxial helicopter. Examples on the estimation of the aerodynamic parameter in the mathematical model of the micro coaxial helicopter based on the simulated flight data will be presented and evaluated in this paper. It will be shown in this paper that the TLS method gives consistent results compared to the ordinary LS method.