Title :
Subspace Model Identification Methods for Identifying the Small-scale Unmanned Helicopter Dynamics
Author :
Chen, Wenbing ; Liu, Ming ; Ge, Yunjian
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei
Abstract :
Because most multivariable control methods are model-based, and the dynamic model for a particular small-scale helicopter which is simple enough to be practical for controller is not readily available, the identification of small-scale helicopter´s dynamic model is a necessary part of any model-based control design. This paper describes the MO ESP method which uses numerically robust computation tools applied in the model identification of a small-scale helicopter dynamics. The result of simulation shows this method is suitable for the dynamic identification of a small-scale helicopter.
Keywords :
aircraft control; dynamics; helicopters; identification; multivariable control systems; remotely operated vehicles; model-based control; multivariable control; small-scale helicopter dynamic identification; small-scale helicopter dynamic model; small-scale unmanned helicopter dynamics; subspace model identification; Control design; Helicopters; Iterative algorithms; MIMO; Machine intelligence; Nonlinear dynamical systems; Robustness; State-space methods; System identification; Vehicle dynamics; Helicopter; Identification; MOESP; Subspace;
Conference_Titel :
Integration Technology, 2007. ICIT '07. IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
1-4244-1092-4
Electronic_ISBN :
1-4244-1092-4
DOI :
10.1109/ICITECHNOLOGY.2007.4290482