- TITLE: ON QFT TUNING OF MULTIVARIABLE
MU CONTROLLERS
- AUTHORS: J.W. Lee , Yossi Chait , Maarten Steinbuch
- ABSTRACT: Optimal control involves feedback problems with explicit
plant data and performance criteria for which a solution is either synthesized
or ruled out. H¥ optimal control is probably the most renowned technique
in this class where the control synthesis procedure involves various
iterations over weightings. In this paper we argue that the integration
of optimal control synthesis and manual tuning in the Quantitative Feedback
Theory (QFT) design environment enables design of controllers with levels
of performance that surpasses what can be achieved using only a single
technique. Specifically, using a constructive example, we demonstrate
that QFT's open-loop tuning is can be more transparent than tuning closed-loop
weights. In this example, QFT tunes the m controller with the objective
of reducing control bandwidth while maintaining robust performance (m
< 1).
- STATUS: This is an earlier version of the one accepted for publication
in AUTOMATICA (Vol. 36, pp. 1701-1708, 2000).
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Last Updated: January 26, 2001
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