System identification and robust stabilization using structured controller for a novel ducted fan flying robot

This paper proposes complete procedures for system identification and control of a novel ducted fan flying robot on near hover flight condition. A control-oriented model structure is derived from a comprehensive mechanism model and identified by ground tests and flight experiments. In order to achieve state decoupling and reference tracking, a two-loop control architecture is employed. Non-smooth optimization algorithm is applied to efficiently tune controller parameters against multiple control requirements. Experimental results show that designed structured controller can provide better performance than classical proportional -integral -derivative (PID) controller.