Title :
Stabilization of Uncertain Systems using State Detection and Application to a Maglev Vehicle
Author_Institution :
Department of Mechanical Engineering, University of California, Berkeley, California 94720; Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, New York 13244.
Abstract :
We present a deterministic treatment for the control of a class of systems with time-varying uncertainties. For the controller design we assume only that the uncertainties lie within some prescribed sets. The controller, based on the knowledge of the present state, guarantees desired performance of the system, including uniform boundedness and uniform ultimate boundedness. If, however, only output instead of state is available for the controller, the construction of a suitable observer is introduced. The resulting plant-observer-controller system is shown to preserve the above-mentioned desired performance. The theoretical result is illustrated by an application to the suspension control of a Maglev (magnetically levitated) Vehicle.
Keywords :
Control system synthesis; Control systems; Magnetic levitation; Measurement errors; Mechanical engineering; State estimation; Uncertain systems; Uncertainty; Vehicle detection; Vehicles;
Conference_Titel :
American Control Conference, 1986
Conference_Location :
Seattle, WA, USA
