Data di Pubblicazione:
2011
Abstract:
This paper proposes the use of Model Predictive Control (MPC) to control a fast mechanical system. In
particular an MPC strategy is applied to a laboratory flexible arm to perform a fast positioning of the
end-effector with limited oscillations during the maneuver. The on-line implementation of a fast MPC is
obtained with an ad hoc platform based on Cþþ and MATLAB while the MPC tuning is based on a nonlinear
model identified and validated with experimental data. The effectiveness of the proposed method
is highlighted with some suitable experiments performed on the plant. In particular the comparison
with a Linear Quadratic Regulator stresses the advantage of the MPC capability to explicitly handle
input and state constraints.This feature guarantees smaller displacements that imply a structure stress
reduction.
particular an MPC strategy is applied to a laboratory flexible arm to perform a fast positioning of the
end-effector with limited oscillations during the maneuver. The on-line implementation of a fast MPC is
obtained with an ad hoc platform based on Cþþ and MATLAB while the MPC tuning is based on a nonlinear
model identified and validated with experimental data. The effectiveness of the proposed method
is highlighted with some suitable experiments performed on the plant. In particular the comparison
with a Linear Quadratic Regulator stresses the advantage of the MPC capability to explicitly handle
input and state constraints.This feature guarantees smaller displacements that imply a structure stress
reduction.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
MPC; LQR; Vibration control; Multivariable; Flexible arm
Elenco autori:
Bossi, Luca; Rottenbacher, CARLO EUGENIO ALESSANDRO; Mimmi, Giovanni; Magni, Lalo
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