A Takagi-Sugeno fuzzy model approach to vision-based control of a micro helicopter

This paper presents hovering control of an indoor micro helicopter only using single visual sensor feedback. The control technique is based on the parallel tracking and mapping (PTAM), a kind of visual simultaneous localization and mapping, using a small single wireless camera on the helicopter. The six degree of freedom of the helicopter is detected via the PTAM. The nonlinear dynamics of the helicopter is converted to a Takagi-Sugeno fuzzy model. To design the guaranteed cost (stable) controller, a Takagi-Sugeno fuzzy model-based design is carried out via a linear matrix inequality approach. The hovering control results demonstrate the utility of our approach even though single wireless vision sensor based stabilization is extremely a difficult task in practice.