In this paper we design a hybrid predictive controller for the tracking of a sinusoidal reference signal. The stability and forward invariance of a set of points around the reference state, named the tracking ellipse, is established by using tools for hybrid dynamical systems. Moreover, prediction of solutions for a finite number of switching events is used to minimize the number of switches. The control algorithm is shown to be robust to small perturbations and input disturbances. Simulations illustrating the main results are included.

A hybrid predictive control algorithm for tracking in a single-phase DC/AC inverter / Torquati, L., Sanfelice, R.G., Zaccarian, L.. - (2017), pp. 904-909. (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 Kohala Coast (HI), USA August 2017) [10.1109/CCTA.2017.8062574].

A hybrid predictive control algorithm for tracking in a single-phase DC/AC inverter

Torquati, Luca;Zaccarian, Luca
2017-01-01

Abstract

In this paper we design a hybrid predictive controller for the tracking of a sinusoidal reference signal. The stability and forward invariance of a set of points around the reference state, named the tracking ellipse, is established by using tools for hybrid dynamical systems. Moreover, prediction of solutions for a finite number of switching events is used to minimize the number of switches. The control algorithm is shown to be robust to small perturbations and input disturbances. Simulations illustrating the main results are included.
2017
Proceedings of the 2017 IEEE Conference on Control Technology and Applications
Kohala Coast (HI), USA
IEEE
978-1-5090-2182-6
Torquati, Luca; Sanfelice, Ricardo G.; Zaccarian, Luca
A hybrid predictive control algorithm for tracking in a single-phase DC/AC inverter / Torquati, L., Sanfelice, R.G., Zaccarian, L.. - (2017), pp. 904-909. (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 Kohala Coast (HI), USA August 2017) [10.1109/CCTA.2017.8062574].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/196936
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 9
  • OpenAlex 11
social impact