Files in this item

FilesDescriptionFormat

application/pdf

application/pdf9737194.pdf (5MB)Restricted to U of Illinois
(no description provided)PDF

Description

Title:Supervisory Control of a Commercial Heating, Ventilating, and Air Conditioning System
Author(s):McLaughlin, Jon Kevin
Doctoral Committee Chair(s):Christianson, Leslie L.
Department / Program:Agricultural Engineering
Discipline:Agricultural Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Agricultural
Abstract:The MPC supervisory controller generated 'optimal' setpoints for lower-level single-input, single-output controllers to maximally utilize the control system framework currently used in the industry. Two different supervisory controller configurations were developed and compared with the existing normal mode of control. Results showed that superior performance could be obtained using the model predictive supervisory controller but this required non-trivial knowledge for proper identification and tuning adjustments. The framework of MPC was shown to be well suited for supervisory control of HVAC processes due to the inherent characteristics of the algorithm. The reformulation of MPC to use the compact, state-space models with optimal state estimates generated by the subspace identification algorithm offers promise for improved measurement and disturbance characterization and future automation of the identification process.
Issue Date:1997
Type:Text
Language:English
Description:182 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.
URI:http://hdl.handle.net/2142/86086
Other Identifier(s):(MiAaPQ)AAI9737194
Date Available in IDEALS:2015-09-28
Date Deposited:1997


This item appears in the following Collection(s)

Item Statistics