Tesi etd-02032023-165919 |
Link copiato negli appunti
Tipo di tesi
Tesi di laurea magistrale
Autore
GAZZANELLI, NICCOLÒ
URN
etd-02032023-165919
Titolo
Nonlinear Inverse Model Control for Compensation of Structural Flexibility in SCARA Manipulator
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE
Relatori
relatore Prof. Avizzano, Carlo Alberto
supervisore Ing. Thuemmel, Michael
supervisore Ing. Thuemmel, Michael
Parole chiave
- identification
- inverse dynamics
- nonlinear control
- optimization
- robot flexibility
- zero dynamics
Data inizio appello
23/02/2023
Consultabilità
Non consultabile
Data di rilascio
23/02/2093
Riassunto
The requirement of keeping robot structure light while at the same time ensuring high performance is a challenging task in industry. Most of the times, flexibility arises as limiting feature, and control schemes must someway include it to obtain satisfactory results. Usually, flexibility can be due to two different sources: i) joint elasticity, originating from the use of harmonic drives, belts or long shafts as reduction or transmission elements or ii) link flexibility, due to the robot structure itself.
The objective of this thesis is the design of a control law to improve the positioning performance of a SCARA manipulator, subject to end-motion vibrations. Joint elasticity, as well as structural flexibility, have been taken into account to generate a feedforward action based on the inverse dynamics resolution. The control law has been implemented and experimentally tested after modeling the SCARA and identifying its flexible parameters.
The objective of this thesis is the design of a control law to improve the positioning performance of a SCARA manipulator, subject to end-motion vibrations. Joint elasticity, as well as structural flexibility, have been taken into account to generate a feedforward action based on the inverse dynamics resolution. The control law has been implemented and experimentally tested after modeling the SCARA and identifying its flexible parameters.
File
Nome file | Dimensione |
---|---|
Tesi non consultabile. |