Supervisory Control of a Commercial Heating, Ventilating, and Air Conditioning System

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Agricultural Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• McLaughlin, Jon Kevin

Contributors dc:contributor

• Christianson, Leslie L.

• Engineering, Agricultural

Language dc:language

eng

Identifier

(MiAaPQ)AAI9737194

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/86086