A novel indirect variational optimal control theory is proposed for integral-differential equations of motion. This algorithm is applied to an engineering application: the control of a an underawater autonomous vehicle's 2-Dof lifting surface. The variational approach proposed is an extension of the classical Potryagin optimal control theory which normally refers to differential equations. The control has been extended by developing a novel integral MPC technique. Numerical results show good performace of the optimal control proposed compared with the standard LQR method.

Optimal control with memory effects: theory and application to wings

Paifelman Elena;
2019

Abstract

A novel indirect variational optimal control theory is proposed for integral-differential equations of motion. This algorithm is applied to an engineering application: the control of a an underawater autonomous vehicle's 2-Dof lifting surface. The variational approach proposed is an extension of the classical Potryagin optimal control theory which normally refers to differential equations. The control has been extended by developing a novel integral MPC technique. Numerical results show good performace of the optimal control proposed compared with the standard LQR method.
2019
Inglese
European Control Conference
319
324
6
Sì, ma tipo non specificato
25/06/2019-28/06/2019
Optimal control
integro-differential equations
memory effects
model predictive control
1
none
Paifelman, Elena; Pepe, Gianluca; Carcaterra, Antonio
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/371998
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