Iterative learning control experimental results in twin-rotor device
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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.
CitationMascaró , R., Costa-Castelló, R., Ramos, G.A. Iterative learning control experimental results in twin-rotor device. "Mathematical problems in engineering", 2017, vol. 2017, p. 6519497-6519509.