{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/86086"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/86086","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Supervisory Control of a Commercial Heating, Ventilating, and Air Conditioning System","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.","abstract_html":"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.","abstract_has_math":false,"creators":["McLaughlin, Jon Kevin"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Agricultural Engineering","degree_department":null,"school":null,"contributors":["Christianson, Leslie L."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-28T14:53:54Z","date_published":"2015-09-28T14:53:54Z","updated_at":"2026-07-22T22:26:26Z","subjects":["Engineering, Agricultural"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI9737194"],"render_values":[{"text":"(MiAaPQ)AAI9737194","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/86086","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Christianson, Leslie L."]},{"key":"dc:creator","label":"Author","values":["McLaughlin, Jon Kevin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-28T14:53:54Z","10000-01-01","1997"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Agricultural"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/86086","(MiAaPQ)AAI9737194"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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.","Made available in DSpace on 2015-09-28T14:53:54Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9737194.pdf: 5150842 bytes, checksum: 2cf94dccdc4019989df32d1c889fb31e (MD5) Previous issue date: 1997","Embargo set by: Seth Robbins for item 87367 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","182 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997."]},{"key":"dc:title","label":"Title","values":["Supervisory Control of a Commercial Heating, Ventilating, and Air Conditioning System"]}]}],"canonical_facts":{"dc:contributor":["Christianson, Leslie L."],"dc:creator":["McLaughlin, Jon Kevin"],"dc:date":["2015-09-28T14:53:54Z","10000-01-01","1997"],"dc:description":["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.","Made available in DSpace on 2015-09-28T14:53:54Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9737194.pdf: 5150842 bytes, checksum: 2cf94dccdc4019989df32d1c889fb31e (MD5) Previous issue date: 1997","Embargo set by: Seth Robbins for item 87367 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","182 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997."],"dc:identifier":["http://hdl.handle.net/2142/86086","(MiAaPQ)AAI9737194"],"dc:language":["eng"],"dc:subject":["Engineering, Agricultural"],"dc:title":["Supervisory Control of a Commercial Heating, Ventilating, and Air Conditioning System"],"dc:type":["text"],"thesis:degree_discipline":["Agricultural Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:26Z"}