Model predictive control architecture for rotorcraft inverse simulation
Abstract
A novel inverse simulation scheme is proposed for applications to rotorcraft dynamic models. The algorithm adopts an architecture that closely resembles that of a model predictive control scheme, where the controlled plant is represented by a high-order helicopter model.Afast solution of the inverse simulation step is obtained on the basis of a lower-order, simplified model. The resulting control action is then propagated forward in time using the more complex one. The algorithm compensates for discrepancies between the models by updating initial conditions for the inverse simulation step and introducing a simple guidance scheme in the definition of the tracked output variables. The proposed approach allows for the assessment of handling quality potential on the basis of the most sophisticated model, while keeping model complexity to a minimum for the computationally more demanding inverse simulation algorithm. The reported results, for an articulated blade, single main rotor helicopter model, demonstrate the validity of the approach.
Autore Pugliese
Tutti gli autori
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Avanzini G. , Thomson D. , Torasso A.
Titolo volume/Rivista
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
Anno di pubblicazione
2013
ISSN
0731-5090
ISBN
Non Disponibile
Numero di citazioni Wos
9
Ultimo Aggiornamento Citazioni
28/04/2018
Numero di citazioni Scopus
16
Ultimo Aggiornamento Citazioni
28/04/2018
Settori ERC
Non Disponibile
Codici ASJC
Non Disponibile
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