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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-06012016-151319


Tipo di tesi
Tesi di dottorato di ricerca
Autore
OLIVARI, MARIO
URN
etd-06012016-151319
Titolo
Measuring pilot control behavior in control tasks with haptic feedback
Settore scientifico disciplinare
ING-INF/04
Corso di studi
INGEGNERIA
Relatori
tutor Prof. Pollini, Lorenzo
commissario Prof. Bülthoff, Heinrich H.
commissario Prof. Landi, Alberto
commissario Prof. Colombo, Carlo
Parole chiave
  • Haptic feedback
  • multi-loop identification
  • neuromuscular response
  • time-varying identification
Data inizio appello
26/06/2016
Consultabilità
Completa
Riassunto
The research goal of this thesis was to increase the understanding of effects of haptic feedback on human’s performance and control behavior.

Firstly, we investigated the effectiveness of haptic aids on improving human’s performance in different control scenarios.
Beneficial effects of haptic aids were shown in terms of human's performances and control effort.
Comparisons with input-mixing systems showed that, although input-mixing systems yielded better performance
than haptic aids in nominal conditions, participants recovered better from failures of haptic systems than from failures of input-mixing aids.

Secondly, we investigated how humans adapt their dynamic responses to realize benefits of the haptic feedback.
To achieve this goal, we developed novel identification methods to estimate human's neuromuscular dynamics in a multi-loop control task.
The novel methods assumed a time-invariant behavior of humans responses.
The novel methods were validated in simulation and applied to experimental data.

Finally, novel methods were developed to account for time-varying behavior of human's responses.
Different sets of numerical simulations were used to validate the novel methods.
Then, the methods were applied to data obtained in human in-the-loop experiments.
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