15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
ROBUST MULTIVARIABLE SET-POINT REGULATION VIA STABLE DYNAMIC INVERSION
Aurelio Piazzi* Antonio Visioli**
* Dipartimento di Ingegneria dell’Informazione, University of Parma
(Italy), e-mail: aurelio@ce.unipr.it
** Dipartimento di Elettronica per l’Automazione, University of
Brescia, (Italy), e-mail: visioli@bsing.ing.unibs.it

In this paper we propose a design methodology for the robust regulation of uncertain nonminimum-phase multivariable linear systems. The method basically consists of defining a suitable vector of parameterized desired output functions and of designing a parameterized decoupling controller of the nominal plant. Then, a parameterized command function for each input is determined by means of a stable dynamic inversion procedure. Eventually, solving an optimization problem permits to minimize the worst-case settling time, subject to amplitude limits on the control variables and constraints on the overshoots and undershoots of the outputs. A worked example based on a three-inputs three-outputs plant shows the effectiveness of the methodology.
Keywords: Multivariable set-point regulation, dynamic inversion, constrained control, structured uncertainties, optimization.
Session slot T-Fr-A14: Robust Control Design/Area code 2a : Control Design