{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/97451"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/97451","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Dynamic modeling and hardware in the loop testing of chemical processes","abstract":"This thesis presents a framework for hardware-in-the-loop (HIL) testing of chemical plants. HIL testing is a widespread tool used in industry and academia to bridge the gap between computer simulations and physical experimentation. It provides many advantages to the standard development path of building a physical prototype and then running tests. Benefits of HIL testing include decreased development time, reduced cost, increased safety, and better control algorithm development. For this work, HIL testing consists of an emulated real-time chemical plant and a real physical controller. This HIL testing setup requires two main thrusts – the development of a dynamic model for chemical plants and the implementation of an emulated real-time plant and a real physical controller in hardware. A user-friendly, modular, scalable, dynamic, and nonlinear first principles modeling toolkit is developed in Matlab Simulink. The toolkit contains individual chemical plant components such as a continuous stirred tank reactor (CSTR), pump, and valve. Experimental validation of the chemical concentration models and an example plant model are included. Next, for the hardware and control implementation tasks, National Instrument’s VeriStand software is used to integrate a Simulink model to run in real-time on NI hardware. A myRIO is used as a real physical controller, programmed in LabVIEW, to control the emulated real-time chemical plant running on a CompactRIO. A chemical plant which forms propylene glycol in a CSTR is utilized as a case study. However, the HIL testing framework developed is widely applicable to real physical systems to decrease development time and increase safety.","abstract_html":"This thesis presents a framework for hardware-in-the-loop (HIL) testing of chemical plants. HIL testing is a widespread tool used in industry and academia to bridge the gap between computer simulations and physical experimentation. It provides many advantages to the standard development path of building a physical prototype and then running tests. Benefits of HIL testing include decreased development time, reduced cost, increased safety, and better control algorithm development. For this work, HIL testing consists of an emulated real-time chemical plant and a real physical controller. This HIL testing setup requires two main thrusts – the development of a dynamic model for chemical plants and the implementation of an emulated real-time plant and a real physical controller in hardware. A user-friendly, modular, scalable, dynamic, and nonlinear first principles modeling toolkit is developed in Matlab Simulink. The toolkit contains individual chemical plant components such as a continuous stirred tank reactor (CSTR), pump, and valve. Experimental validation of the chemical concentration models and an example plant model are included. Next, for the hardware and control implementation tasks, National Instrument’s VeriStand software is used to integrate a Simulink model to run in real-time on NI hardware. A myRIO is used as a real physical controller, programmed in LabVIEW, to control the emulated real-time chemical plant running on a CompactRIO. A chemical plant which forms propylene glycol in a CSTR is utilized as a case study. However, the HIL testing framework developed is widely applicable to real physical systems to decrease development time and increase safety.","abstract_has_math":false,"creators":["Kawamura, Malia L"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Alleyne, Andrew G."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-08-10T19:15:59Z","date_published":"2017-08-10T19:15:59Z","updated_at":"2026-07-22T22:24:34Z","subjects":["Hardware-in-the-loop","Dynamic modeling","Controls"],"languages":["en"],"rights":["Copyright 2017 Malia Kawamura"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/97451","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Alleyne, Andrew G."]},{"key":"dc:creator","label":"Author","values":["Kawamura, Malia L"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2017-08-10T19:15:59Z","2017-04-25","2017-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"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":["Hardware-in-the-loop","Dynamic modeling","Controls"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2017 Malia Kawamura"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/97451"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This thesis presents a framework for hardware-in-the-loop (HIL) testing of chemical plants. HIL testing is a widespread tool used in industry and academia to bridge the gap between computer simulations and physical experimentation. It provides many advantages to the standard development path of building a physical prototype and then running tests. Benefits of HIL testing include decreased development time, reduced cost, increased safety, and better control algorithm development. For this work, HIL testing consists of an emulated real-time chemical plant and a real physical controller. This HIL testing setup requires two main thrusts – the development of a dynamic model for chemical plants and the implementation of an emulated real-time plant and a real physical controller in hardware. A user-friendly, modular, scalable, dynamic, and nonlinear first principles modeling toolkit is developed in Matlab Simulink. The toolkit contains individual chemical plant components such as a continuous stirred tank reactor (CSTR), pump, and valve. Experimental validation of the chemical concentration models and an example plant model are included. Next, for the hardware and control implementation tasks, National Instrument’s VeriStand software is used to integrate a Simulink model to run in real-time on NI hardware. A myRIO is used as a real physical controller, programmed in LabVIEW, to control the emulated real-time chemical plant running on a CompactRIO. A chemical plant which forms propylene glycol in a CSTR is utilized as a case study. However, the HIL testing framework developed is widely applicable to real physical systems to decrease development time and increase safety.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-08-10 without embargo terms","The student, Malia Kawamura, accepted the attached license on 2017-04-24 at 11:37.","The student, Malia Kawamura, submitted this Thesis for approval on 2017-04-24 at 11:43.","This Thesis was approved for publication on 2017-04-25 at 12:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11006 on 2017-08-10 at 13:45:37","Made available in DSpace on 2017-08-10T19:15:59Z (GMT). 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Benefits of HIL testing include decreased development time, reduced cost, increased safety, and better control algorithm development. For this work, HIL testing consists of an emulated real-time chemical plant and a real physical controller. This HIL testing setup requires two main thrusts – the development of a dynamic model for chemical plants and the implementation of an emulated real-time plant and a real physical controller in hardware. A user-friendly, modular, scalable, dynamic, and nonlinear first principles modeling toolkit is developed in Matlab Simulink. The toolkit contains individual chemical plant components such as a continuous stirred tank reactor (CSTR), pump, and valve. Experimental validation of the chemical concentration models and an example plant model are included. Next, for the hardware and control implementation tasks, National Instrument’s VeriStand software is used to integrate a Simulink model to run in real-time on NI hardware. A myRIO is used as a real physical controller, programmed in LabVIEW, to control the emulated real-time chemical plant running on a CompactRIO. A chemical plant which forms propylene glycol in a CSTR is utilized as a case study. However, the HIL testing framework developed is widely applicable to real physical systems to decrease development time and increase safety.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-08-10 without embargo terms","The student, Malia Kawamura, accepted the attached license on 2017-04-24 at 11:37.","The student, Malia Kawamura, submitted this Thesis for approval on 2017-04-24 at 11:43.","This Thesis was approved for publication on 2017-04-25 at 12:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11006 on 2017-08-10 at 13:45:37","Made available in DSpace on 2017-08-10T19:15:59Z (GMT). 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