ROBUST STABILIZATION OF AN R/C HELICOPTER
Kazuo Tanaka* Hiroshi Ohtake* Hua O. Wang**
* Department of Mechanical Engineering and Intelligent Systems The University of Electro-Communications 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585 Japan Email ktanaka@mce.uec.ac.jp hohtake@rc.mce.uec.ac.jp
** Department of Electrical and Computer Engineering Duke University Durham, NC 27708-0291 USA Email hua@ee.duke.edu
This paper presents robust stabilization for an RC helicopter whose degree of freedom is reduced by fixing at a (joint) point. In our previous paper, we have achieved stable control for the helicopter using fuzzy model-based nonlinear control. However, after simplifying the nonlinear dynamics, we have replaced the simplified nonlinear dynamics with a Takagi-Sugeno fuzzy model. In this paper, we design a robust fuzzy controller so as to compensate the modeling error for the simplification. A robust stability condition achieveing good speed of response is represented in terms of linear matrix inequalities (LMIs). By simultaneously solving the condition and input constraint condition, we design a robust fuzzy controller that achieves good speed of response with small control effort. The simulation and experimental results illustrate the utility of this approach.
Keywords: Fuzzy control, Fuzzy models, Helicopter control, Model-based control, Modeling errors, Nonlinear control
Session slot T-Th-M04: Neuro control systems/Area code 3e : Fuzzy and Neural Systems

|