Title :
Weighting function selection in H∞-optimal control with application to a thyristor-driven DC-motor
Author :
Kneppova, V. ; Kiffmeier, Ulrich ; Unbehauen, H.
Author_Institution :
Fac. of Electr. Eng., Ruhr-Univ., Bochum, Germany
Abstract :
This paper is concerned with investigation into the various aspects of the selection of weighting functions for an H-optimal controller design. The treatment of model uncertainties in the field of robust control is demonstrated and an analysis for the two most important kinds of uncertainties is presented. The main goal is to portray the relation between the weighting functions and the performance and robustness of the controlled system. On the basis of this detailed analysis, a set of simple tuning rules for the appropriate selection of the weighting functions is derived. These tuning rules allow one to find good initial estimates for the characteristic parameters of the weighting functions. A software package for the analysis of the plant and the selection of the weighting functions has been developed and successfully applied to a thyristor-driven DC-motor
Keywords :
DC motors; H∞ control; control system analysis; control system synthesis; discrete time systems; frequency-domain synthesis; machine control; robust control; software packages; thyristor applications; tuning; H∞-optimal control; model uncertainties; robust control; robustness; software package; thyristor-driven DC-motor; tuning rules; weighting function selection; Control system analysis; Control systems; Frequency domain analysis; Frequency response; Performance analysis; Robustness; Shape control; Transfer functions; Tuning; Uncertainty;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.532064
