Adaptive dead-time compensation

In this work a new paradigm for designing controllers for poorly modeled plants with significant dead time is proposed. We show how minimum variance control can be interpreted as dead-time compensation with infinite gain proportional feedback. Based on this interpretation, we develop more general control laws that do not suffer from the drawbacks of high gain feedback. These new controls are compared with the more traditional dead-time compensator, the Smith predictor, and the following directions of research are pursued: (1) The use of adaptation to achieve set-point matching without the use of integration. (2) The stability and convergence of these adaptive dead-time compensators are investigated under a variety of situations including an ideal stochastic framework and a time-varying deterministic framework. (3) Two methods for selecting controller parameters in an optimal manner are presented, and alternative strategies for adaptively generating d-step predictions are discussed. (4) The control laws are applied to a gas metal arc welder, and the resulting closed-loop performance is found to be superior to that for related controllers.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Brown, Lyndon Joseph

Contributors dc:contributor

• Meyn, Sean P.

• Engineering, Electronics and Electrical
• Engineering, System Science

Statement dc:rights

• Copyright 1996 Brown, Lyndon Joseph

Language dc:language

eng

Identifier

9780591087208
AAI9702468
(UMI)AAI9702468

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/22359