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SELF TUNING ALGORITHM FOR MOTION CONTROL APLICATIONS USING EXTREMUM SEEKING METHOD

Citace: [] ŠKARDA, R., GOUBEJ, M. SELF TUNING ALGORITHM FOR MOTION CONTROL APLICATIONS USING EXTREMUM SEEKING METHOD. In 11th International Carpathian Control Conference. Eger, Hungary: REKATEL Bt., Miskolc, Hungary, 2010. s. 157-160. ISBN: 978-963-06-9289-2
Druh: STAŤ VE SBORNÍKU
Jazyk publikace: eng
Anglický název: SELF TUNING ALGORITHM FOR MOTION CONTROL APLICATIONS USING EXTREMUM SEEKING METHOD
Rok vydání: 2010
Místo konání: Eger, Hungary
Název zdroje: REKATEL Bt., Miskolc, Hungary
Autoři: Ing. Radek Škarda , Ing. Martin Goubej
Abstrakt EN: This paper deals with automatic tuning algorithm for motion control applications where an electrical actuator is used. In our approach we use a so called extremum seeking algorithm to automatically adjust the controller parameters. The cascade structure of the controller which is commonly used is considered. The tuning algorithm performs a set of experiments with different parameter values and examines the behaviour of the closed loop. The goal is to find a parameter set which minimizes a chosen criterion function with respect to setpoint response and disturbance rejection.
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