The robustness of an advanced adaptive controller against system noise

Author

Fatehi, F. ; Pierre, D.A.

Author_Institution

Dept. of Electr. Eng., Montana State Univ., Bozeman, MT, USA

fYear

1993

fDate

15-17 Dec 1993

Firstpage

587

Abstract

This paper examines the robustness of an advanced adaptive controller against system noise and abrupt parameter changes. Recursive extended least squares (RELS) is incorporated in a self-tuning adaptive controller which uses an enhanced linear-quadratic control algorithm. Simulations are given to demonstrate the effectiveness of the controller in a noisy environment. The system that is being controlled is a piecewise linear system with an independent noise input and with time-scheduled parameter changes unknown by the controller. Effects of noise level are examined along with trade-offs that must be considered regarding probing-signal strength and noise level. The robustness of this self-tuning control is shown to benefit from the use of RELS in place of RLS

Keywords

adaptive control; least squares approximations; optimal control; self-adjusting systems; advanced adaptive controller; enhanced linear quadratic control; noise level; piecewise linear system; probing signal strength; recursive extended least squares; robustness; self tuning control; system noise; time scheduled parameter changes; Adaptive control; Adaptive systems; Control systems; Least squares methods; Noise level; Noise robustness; Piecewise linear techniques; Programmable control; Robust control; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-1298-8

Type

conf

DOI

10.1109/CDC.1993.325079

Filename

325079