Iterative Learning Control Experimental Results in Twin-Rotor Device

Abstract EN

This paper presents the results of applying the Iterative Learning Control algorithms to a Twin-Rotor Multiple-Input Multiple-Output System (TRMS) in order to achieve high performance in repetitive tracking of trajectories.

The plant, which is similar to a prototype of helicopter, is characterized by its highly nonlinear and cross-coupled dynamics.

In the first phase, the system is modelled using the Lagrangian approach and combining theoretical and experimental results.

Thereafter, a hierarchical control architecture which combines a baseline feedback controller with an Iterative Learning Control algorithm is developed.

Finally, the responses of the real device and a complete analysis of the learning behaviour are exposed.