ROBUST MULTIVARIABLE SET-POINT REGULATION VIA STABLE DYNAMIC INVERSION
Aurelio Piazzi* Antonio Visioli**
* Dipartimento di Ingegneria dellInformazione, University of Parma (Italy), e-mail: aurelio@ce.unipr.it
** Dipartimento di Elettronica per lAutomazione, 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

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