Title :
Adaptive internal model control: H∞ optimization for stable plants
Author :
Datta, Aniruddha ; Xing, Lei
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
11/1/1999 12:00:00 AM
Abstract :
This paper considers the design of a robust adaptive H∞ optimal controller based on the IMC structure. Specific attention is focused on the practically important class of stable plants with one open right half-plane zero. The certainty equivalence principle of adaptive control is used to combine a robust adaptive law with a robust H∞ internal model controller to obtain an adaptive H ∞ internal model control scheme with provable guarantees of stability and robustness. The approach used earlier for designing and analyzing adaptive H2 optimal control schemes is seen to carry over in a natural fashion to the adaptive H∞ optimal control case. This attests to the generality of that approach, which not only provides a theoretical basis for analytically justifying some of the reported industrial successes of existing adaptive internal model control schemes, but also opens up the possibility of synthesizing new ones by simply combining a robust adaptive law with a robust internal model controller structure
Keywords :
H∞ control; control system synthesis; model reference adaptive control systems; robust control; H∞ optimization; IMC structure; adaptive H2 optimal control; adaptive internal model control; certainty equivalence principle; open right half-plane zero; robust adaptive H∞ optimal controller design; stable plants; Adaptive control; Cost function; Noise measurement; Optimal control; Output feedback; Polynomials; Programmable control; Regulators; Robust control; Robust stability;
Journal_Title :
Automatic Control, IEEE Transactions on