In this paper the problem of dynamic control allocation is studied in the context of a continuous-time plant regulated by means of a digital controller, comprising sampling and holding blocks. The proposed architecture consists of an annihilator unit designed on the basis of the sampled-data equivalent description of the plant and of a discrete-time steady-state generator/optimizer driven by the exogenous reference signal. By relying on the feed-forward nature of the design, it is shown that the allocation unit yields the optimal solution in finite time, differently from existing solutions purely in the context of continuous-time plants.

Galeani, S., Masocco, R., Sassano, M. (2022). Dynamic control allocation for sampled-data closed-loop systems. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? IEEE Control and Decision Conference CDC, Cancun, Mexico [10.1109/CDC51059.2022.9992953].

Dynamic control allocation for sampled-data closed-loop systems

Galeani S.;Masocco R.;Sassano M.
2022-01-01

Abstract

In this paper the problem of dynamic control allocation is studied in the context of a continuous-time plant regulated by means of a digital controller, comprising sampling and holding blocks. The proposed architecture consists of an annihilator unit designed on the basis of the sampled-data equivalent description of the plant and of a discrete-time steady-state generator/optimizer driven by the exogenous reference signal. By relying on the feed-forward nature of the design, it is shown that the allocation unit yields the optimal solution in finite time, differently from existing solutions purely in the context of continuous-time plants.
IEEE Control and Decision Conference CDC
Cancun, Mexico
2022
IEEE
Rilevanza internazionale
2022
Settore ING-INF/04
English
Intervento a convegno
Galeani, S., Masocco, R., Sassano, M. (2022). Dynamic control allocation for sampled-data closed-loop systems. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? IEEE Control and Decision Conference CDC, Cancun, Mexico [10.1109/CDC51059.2022.9992953].
Galeani, S; Masocco, R; Sassano, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/368185
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