{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/22050"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/22050","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Dynamic matrix control of milling circuits","abstract":"The main aim of the study was to investigate the suitability of DMC for milling circuit control. This was conducted through simulation studies using models of two different milling circuits. A generalised software package was developed for the application and analysis of DMC. DMC was developed in the United States of America by Shell Oil Company (Cutler and Ramaker, 1979; Prett and Gillete, 1979). It falls under the class of controllers which is termed Model Predictive Control (MPC). The control algorithms falling into this category are multivariable and model-based, and as such are expected to improve control of processes which exhibit strong interactions, non-minimum phase behavior, and operate at constraints. Other control schemes falling into this category are Model Algorithmic Control (MAC) and Internal Model Control (IMC). Details of MAC are largely proprietary, while the frequency-based IMC method does not permit direct handling of constraints. Thus the focus of this project was on the DMC algorithm and its variants; Linear Dynamic Matrix Control (LDMC) and Quadratic Dynamic Matrix Control (QDMC).","abstract_html":"The main aim of the study was to investigate the suitability of DMC for milling circuit control. This was conducted through simulation studies using models of two different milling circuits. A generalised software package was developed for the application and analysis of DMC. DMC was developed in the United States of America by Shell Oil Company (Cutler and Ramaker, 1979; Prett and Gillete, 1979). It falls under the class of controllers which is termed Model Predictive Control (MPC). The control algorithms falling into this category are multivariable and model-based, and as such are expected to improve control of processes which exhibit strong interactions, non-minimum phase behavior, and operate at constraints. Other control schemes falling into this category are Model Algorithmic Control (MAC) and Internal Model Control (IMC). Details of MAC are largely proprietary, while the frequency-based IMC method does not permit direct handling of constraints. Thus the focus of this project was on the DMC algorithm and its variants; Linear Dynamic Matrix Control (LDMC) and Quadratic Dynamic Matrix Control (QDMC).","abstract_has_math":false,"creators":["Mkhize, Sikhumbuzo Cazwell"],"institution":"Department of Chemical Engineering","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Swartz, C L E"],"committee_chairs":[],"committee_members":[],"year":1993,"date_issued":"1993","date_published":"1993","updated_at":"2026-07-22T22:23:00Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/22050","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Swartz, C L E"]},{"key":"dc:creator","label":"Author","values":["Mkhize, Sikhumbuzo Cazwell"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2016-10-03T04:07:41Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2016-10-03T04:07:41Z"]},{"key":"dc:date.issued","label":"Date","values":["1993"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department of Chemical Engineering"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MSc (Chem Eng)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/22050"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Bibliography: pages 82-87."]},{"key":"dc:description.abstract","label":"Abstract","values":["The main aim of the study was to investigate the suitability of DMC for milling circuit control. This was conducted through simulation studies using models of two different milling circuits. A generalised software package was developed for the application and analysis of DMC. DMC was developed in the United States of America by Shell Oil Company (Cutler and Ramaker, 1979; Prett and Gillete, 1979). It falls under the class of controllers which is termed Model Predictive Control (MPC). The control algorithms falling into this category are multivariable and model-based, and as such are expected to improve control of processes which exhibit strong interactions, non-minimum phase behavior, and operate at constraints. Other control schemes falling into this category are Model Algorithmic Control (MAC) and Internal Model Control (IMC). Details of MAC are largely proprietary, while the frequency-based IMC method does not permit direct handling of constraints. Thus the focus of this project was on the DMC algorithm and its variants; Linear Dynamic Matrix Control (LDMC) and Quadratic Dynamic Matrix Control (QDMC)."]},{"key":"dc:title","label":"Title","values":["Dynamic matrix control of milling circuits"]}]}],"canonical_facts":{"dc:contributor.advisor":["Swartz, C L E"],"dc:creator":["Mkhize, Sikhumbuzo Cazwell"],"dc:date.accessioned":["2016-10-03T04:07:41Z"],"dc:date.available":["2016-10-03T04:07:41Z"],"dc:date.issued":["1993"],"dc:description":["Bibliography: pages 82-87."],"dc:description.abstract":["The main aim of the study was to investigate the suitability of DMC for milling circuit control. This was conducted through simulation studies using models of two different milling circuits. A generalised software package was developed for the application and analysis of DMC. DMC was developed in the United States of America by Shell Oil Company (Cutler and Ramaker, 1979; Prett and Gillete, 1979). It falls under the class of controllers which is termed Model Predictive Control (MPC). The control algorithms falling into this category are multivariable and model-based, and as such are expected to improve control of processes which exhibit strong interactions, non-minimum phase behavior, and operate at constraints. Other control schemes falling into this category are Model Algorithmic Control (MAC) and Internal Model Control (IMC). Details of MAC are largely proprietary, while the frequency-based IMC method does not permit direct handling of constraints. Thus the focus of this project was on the DMC algorithm and its variants; Linear Dynamic Matrix Control (LDMC) and Quadratic Dynamic Matrix Control (QDMC)."],"dc:identifier.uri":["http://hdl.handle.net/11427/22050"],"dc:language.iso":["eng"],"dc:publisher.department":["Department of Chemical Engineering"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["Dynamic matrix control of milling circuits"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MSc (Chem Eng)"]},"updated_at":"2026-07-22T22:23:00Z"}