Title :
Modeling, Identification and Robust Control of Yaw Dynamics of Small-Scale Unmanned Helicopters
Author :
Wang, Xiaodong ; Zhao, Xiaoguang ; Tan, Min
Author_Institution :
Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China
Abstract :
A yaw dynamic model of a small-scale unmanned helicopter with yaw rate feedback system is constructed according to its dynamic characteristics. With the data from flight experiment, a complete yaw dynamic state-space model is identified using prediction error method (PEM). Moreover, an analysis is made about the data from experimental flight, and thereby a dynamic model with higher fidelity is established. Then an external control law has been designed using classical PID control method and H¿ loop-shaping robust control method respectively. Comparative results demonstrated that the H¿ loop-shaping control has a superior performance and robustness than classical PID control.
Keywords :
H¿ control; aerospace robotics; aircraft control; feedback; helicopters; identification; mobile robots; remotely operated vehicles; robot dynamics; robust control; state-space methods; three-term control; vehicle dynamics; H¿ loop-shaping robust control method; classical PID control method; external control law; prediction error method; small-scale unmanned helicopters; yaw dynamic state-space model; yaw rate feedback system; Automatic control; Equations; Feedback; Helicopters; Nonlinear dynamical systems; Predictive models; Robust control; Three-term control; Torque control; Vehicle dynamics; H8 loop-shaping; prediction error method; small-scale autonomous helicopter; yaw dynamics;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.686