Title :
Hovering Control of Unmanned Small Size Helicopter Based on Adaptive Inverse Control Theory
Author :
Li Jin-song ; Cao Xi ; Yan Guo-zheng ; Song Li-bo
Author_Institution :
Sch. of Electron. Inf. & Electr. Eng., Shanghai JiaoTong Univ., Shanghai, China
Abstract :
Adaptive inverse control (AIC) theory is introduced to inhibit interferences such as side wind during hovering control for small-sized unmanned helicopter. Based on this theory, an AIC control block diagram is improved to accommodate with the characteristics of helicopter hovering model and robust design. According to structure and fundamental theory of small-sized unmanned helicopter, a hover flight experimental platform is built. Also, the translation equations and the rotation equations are derived by the Kane Equation. Recursive least square (RLS) method is used to identify the parameters and design the controller. The experimental results show that, in terms of interference elimination, AIC-RLS method is better than PID controller. The realization of open-air hovering control on flight experimental platform demonstrates the method presented in this paper is effective.
Keywords :
adaptive control; aircraft control; attitude control; helicopters; least squares approximations; mobile robots; remotely operated vehicles; AIC control block diagram; AIC-RLS method; Kane equation; PID controller; adaptive inverse control theory; attitude control; interference elimination; open-air hovering control; recursive least square method; rotation equations; translation equations; unmanned small size helicopter; adaptive inverse control(AIC); dynamical modeling; flight experimental platform; hovering control; recursive least square(RLS) algorithm; side wind; small-sized unmanned helicopter;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
Conference_Location :
ChangSha
Print_ISBN :
978-0-7695-4286-7
DOI :
10.1109/ICDMA.2010.55