Back to results

Queens University

Integration of Extremum Seeking and Model Predictive Control for Discrete Time Systems

Abstract

dc:description.abstract

This thesis considers a time-varying extremum seeking control algorithm that adjusts set-points provided to a model predictive controller for a vapour compression system. While perturbation-based extremum seeking methods have been known for some time, they suffer from slow convergence rates---a problem emphasized in application by the long time constants associated with thermal systems. The proposed method uses time-varying extremum seeking, which has faster and more reliable convergence properties for this application. In particular, we regulate the compressor discharge temperature using a model predictive controller with set-points selected from a model-free time-varying extremum seeking algorithm. We show that the relationship between compressor discharge temperature and power consumption is convex (a requirement for this class of real-time optimization), and use discrete-time extremum seeking control to drive these set-points to values that minimize power. The results are compared to the traditional perturbation-based extremum seeking approach. Further, because the required cooling capacity (and therefore compressor speed) is a function of measured and unmeasured disturbances, the optimal compressor discharge temperature set-point must vary according to these conditions. We show that the energy optimal discharge temperature is tracked with the time-varying extremum seeking algorithm in the presence of disturbances.

Degree

thesis:*
Department dc:contributor.department
Chemical Engineering
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Weiss, Walter
Advisor dc:contributor.supervisor
  • Guay, Martin

Subjects

dc:subject × 10

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1974/12286
OAI identifier oai:identifier
oai:queensu.scholaris.ca:1974/12286

Chain of custody

source
Harvested from
Queens University
Base URL
qspace.library.queensu.ca/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Weiss, Walter. Integration of Extremum Seeking and Model Predictive Control for Discrete Time Systems. 2014. http://hdl.handle.net/1974/12286