{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/101712"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/101712","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Decentralized model predictive control of urban drainage systems","abstract":"This thesis applies a modeling method proposed by previous literature to a specific example and develops control techniques based on this model. The inherent nonlinear behaviors of the drainage systems were accommodated by introducing binary variables and linear inequalities to merge different modes of operation into a single expression. The objective function is constituted by 3 cost functions considering several priorities. Except the normal objective of minimizing overflows, we present two methods of reducing operation costs by harvesting rain power and energy from rainfall collecting locales. Pressure forebay regulates water with large potential energy and generates electricity as the water is directed through hydraulic pumps. Surface aqueduct collects water with high kinetic energy and pushes water through spiral case to generate electricity. Locations with these devices installed induce lower operation cost and thus have higher priorities to be utilized. Once we formulate the water management problem as an optimization problem with specified constraints, we can apply Model Predictive Control (MPC) to compensate for modeling errors and prediction inaccuracies. As we regularly update system states and disturbances information, we achieve our goal of applying real time control to drainage systems. As the system size grows, the system is partitioned into several subsections and each one of them forms a subsystem which makes local decisions based on partial information. The performance of different partition schemes was compared against centralized MPC and open loop controllers. It was shown that even decentralized controllers may suffer performance loss, the computation time was significantly reduced compared with centralized controllers. In rain scenarios with large intensity, the performance loss of decentralized controllers is insignificant compared with the advantage gained by computation time reduced.","abstract_html":"This thesis applies a modeling method proposed by previous literature to a specific example and develops control techniques based on this model. The inherent nonlinear behaviors of the drainage systems were accommodated by introducing binary variables and linear inequalities to merge different modes of operation into a single expression. The objective function is constituted by 3 cost functions considering several priorities. Except the normal objective of minimizing overflows, we present two methods of reducing operation costs by harvesting rain power and energy from rainfall collecting locales. Pressure forebay regulates water with large potential energy and generates electricity as the water is directed through hydraulic pumps. Surface aqueduct collects water with high kinetic energy and pushes water through spiral case to generate electricity. Locations with these devices installed induce lower operation cost and thus have higher priorities to be utilized. Once we formulate the water management problem as an optimization problem with specified constraints, we can apply Model Predictive Control (MPC) to compensate for modeling errors and prediction inaccuracies. As we regularly update system states and disturbances information, we achieve our goal of applying real time control to drainage systems. As the system size grows, the system is partitioned into several subsections and each one of them forms a subsystem which makes local decisions based on partial information. The performance of different partition schemes was compared against centralized MPC and open loop controllers. It was shown that even decentralized controllers may suffer performance loss, the computation time was significantly reduced compared with centralized controllers. In rain scenarios with large intensity, the performance loss of decentralized controllers is insignificant compared with the advantage gained by computation time reduced.","abstract_has_math":false,"creators":["Li, Yichuan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Voulgaris, Petros","Stipanovic, Dusan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-09-27T16:34:19Z","date_published":"2018-09-27T16:34:19Z","updated_at":"2026-07-22T22:24:40Z","subjects":["Decentralized Model Predictive Control. 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Except the normal objective of minimizing overflows, we present two methods of reducing operation costs by harvesting rain power and energy from rainfall collecting locales. Pressure forebay regulates water with large potential energy and generates electricity as the water is directed through hydraulic pumps. Surface aqueduct collects water with high kinetic energy and pushes water through spiral case to generate electricity. Locations with these devices installed induce lower operation cost and thus have higher priorities to be utilized. Once we formulate the water management problem as an optimization problem with specified constraints, we can apply Model Predictive Control (MPC) to compensate for modeling errors and prediction inaccuracies. As we regularly update system states and disturbances information, we achieve our goal of applying real time control to drainage systems. As the system size grows, the system is partitioned into several subsections and each one of them forms a subsystem which makes local decisions based on partial information. The performance of different partition schemes was compared against centralized MPC and open loop controllers. It was shown that even decentralized controllers may suffer performance loss, the computation time was significantly reduced compared with centralized controllers. In rain scenarios with large intensity, the performance loss of decentralized controllers is insignificant compared with the advantage gained by computation time reduced.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-08-01","The student, Yichuan Li, accepted the attached license on 2018-07-12 at 14:06.","The student, Yichuan Li, submitted this Thesis for approval on 2018-07-12 at 14:13.","This Thesis was approved for publication on 2018-07-13 at 12:56.","DSpace SAF Submission Ingestion Package generated from Vireo submission #12850 on 2018-09-27 at 11:19:16","Made available in DSpace on 2018-09-27T16:34:19Z (GMT). No. of bitstreams: 2 LI-THESIS-2018.pdf: 1691614 bytes, checksum: e588dabf2616d33bf3aa8b68bb90a031 (MD5) LICENSE.txt: 4207 bytes, checksum: 28260e6b44991e629f8a913ab23f6972 (MD5) Previous issue date: 2018-07-13","Embargo set by: Seth Robbins for item 107812 Lift date: 2020-09-27T16:34:29Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 107812 on 2020-09-28T09:15:27Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Decentralized model predictive control of urban drainage systems"]}]}],"canonical_facts":{"dc:contributor":["Voulgaris, Petros","Stipanovic, Dusan"],"dc:creator":["Li, Yichuan"],"dc:date":["2018-09-27T16:34:19Z","2020-09-28T09:15:27Z","2018-07-13","2018-08"],"dc:description":["This thesis applies a modeling method proposed by previous literature to a specific example and develops control techniques based on this model. The inherent nonlinear behaviors of the drainage systems were accommodated by introducing binary variables and linear inequalities to merge different modes of operation into a single expression. The objective function is constituted by 3 cost functions considering several priorities. Except the normal objective of minimizing overflows, we present two methods of reducing operation costs by harvesting rain power and energy from rainfall collecting locales. Pressure forebay regulates water with large potential energy and generates electricity as the water is directed through hydraulic pumps. Surface aqueduct collects water with high kinetic energy and pushes water through spiral case to generate electricity. Locations with these devices installed induce lower operation cost and thus have higher priorities to be utilized. Once we formulate the water management problem as an optimization problem with specified constraints, we can apply Model Predictive Control (MPC) to compensate for modeling errors and prediction inaccuracies. As we regularly update system states and disturbances information, we achieve our goal of applying real time control to drainage systems. As the system size grows, the system is partitioned into several subsections and each one of them forms a subsystem which makes local decisions based on partial information. The performance of different partition schemes was compared against centralized MPC and open loop controllers. It was shown that even decentralized controllers may suffer performance loss, the computation time was significantly reduced compared with centralized controllers. In rain scenarios with large intensity, the performance loss of decentralized controllers is insignificant compared with the advantage gained by computation time reduced.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-08-01","The student, Yichuan Li, accepted the attached license on 2018-07-12 at 14:06.","The student, Yichuan Li, submitted this Thesis for approval on 2018-07-12 at 14:13.","This Thesis was approved for publication on 2018-07-13 at 12:56.","DSpace SAF Submission Ingestion Package generated from Vireo submission #12850 on 2018-09-27 at 11:19:16","Made available in DSpace on 2018-09-27T16:34:19Z (GMT). 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Drainage systems"],"dc:title":["Decentralized model predictive control of urban drainage systems"],"dc:type":["text"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:40Z"}