{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/117850"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/117850","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Optimal design of eVTOLs for urban mobility using analytical target cascading (ATC)","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","abstract_has_math":false,"creators":["Chinthoju, Prajwal Kumar"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Systems & Entrepreneurial Engr","degree_department":null,"school":null,"contributors":["Allison, James T"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-12","date_published":"2022-12","updated_at":"2026-07-22T22:24:56Z","subjects":["Evtol","Atc","Mdo"],"languages":["en","eng"],"rights":["Copyright 2022 Prajwal Chinthoju"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/117850","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Allison, James T"]},{"key":"dc:creator","label":"Author","values":["Chinthoju, Prajwal Kumar"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-12","2022-12-09"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Systems & Entrepreneurial Engr"]},{"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":["Evtol","Atc","Mdo"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Prajwal Chinthoju"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/117850"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","The student, Prajwal Chinthoju, accepted the attached license on 2022-12-08 at 19:12.","The student, Prajwal Chinthoju, submitted this Thesis for approval on 2022-12-08 at 19:17.","This Thesis was approved for publication on 2022-12-09 at 17:08.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18789 on 2023-04-12 at 07:39:45","The aim of this thesis is to evaluate the capability of Analytical Target Cascading (ATC) for optimizing large scale engineering design optimization problems. Multidisciplinary Optimization (MDO) techniques have a subject of immense interest in the past few decades because of their ability to generate optimal designs for complex system of systems. Monolithic MDO methods are one category of MDO methods that pose the optimization problem as a single optimization problem. These methods are effective in generating an optimal design, but it can be challenging to implement these methods at an organizational level in engineering design practice. Meanwhile, distributed MDO methods that decompose the problem into different sub optimization problems offer additional modularity and flexibility required for implementation at an organizational level. Analytical target cascading (ATC) is one such distributed MDO method that most closely emulates a hierarchical organization structure. The problem of designing of an eVTOL (electric vertical takeoff and landing vehicle) was chosen to evaluate the performance of ATC because of its relevance to the future urban mobility solution space and because the design of eVTOLs involves optimization of several subsystems that are strongly coupled. The first part of this thesis focuses on the implementation and analysis of the results generated by ATC with respect to eVTOL design optimization. In the later part of this thesis, we set to lay out some of the general advantages of using distributed MDO methods over Monolithic MDO methods, as well as situations where the latter is more beneficial. In the final chapter, aspects involving computational expense and human factors effort are discussed to explore a set of cases where distributed MDO methods can be advantageous in engineering practice."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Optimal design of eVTOLs for urban mobility using analytical target cascading (ATC)"]}]}],"canonical_facts":{"dc:contributor":["Allison, James T"],"dc:creator":["Chinthoju, Prajwal Kumar"],"dc:date":["2022-12","2022-12-09"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","The student, Prajwal Chinthoju, accepted the attached license on 2022-12-08 at 19:12.","The student, Prajwal Chinthoju, submitted this Thesis for approval on 2022-12-08 at 19:17.","This Thesis was approved for publication on 2022-12-09 at 17:08.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18789 on 2023-04-12 at 07:39:45","The aim of this thesis is to evaluate the capability of Analytical Target Cascading (ATC) for optimizing large scale engineering design optimization problems. Multidisciplinary Optimization (MDO) techniques have a subject of immense interest in the past few decades because of their ability to generate optimal designs for complex system of systems. Monolithic MDO methods are one category of MDO methods that pose the optimization problem as a single optimization problem. These methods are effective in generating an optimal design, but it can be challenging to implement these methods at an organizational level in engineering design practice. Meanwhile, distributed MDO methods that decompose the problem into different sub optimization problems offer additional modularity and flexibility required for implementation at an organizational level. Analytical target cascading (ATC) is one such distributed MDO method that most closely emulates a hierarchical organization structure. The problem of designing of an eVTOL (electric vertical takeoff and landing vehicle) was chosen to evaluate the performance of ATC because of its relevance to the future urban mobility solution space and because the design of eVTOLs involves optimization of several subsystems that are strongly coupled. The first part of this thesis focuses on the implementation and analysis of the results generated by ATC with respect to eVTOL design optimization. In the later part of this thesis, we set to lay out some of the general advantages of using distributed MDO methods over Monolithic MDO methods, as well as situations where the latter is more beneficial. In the final chapter, aspects involving computational expense and human factors effort are discussed to explore a set of cases where distributed MDO methods can be advantageous in engineering practice."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/117850"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Prajwal Chinthoju"],"dc:subject":["Evtol","Atc","Mdo"],"dc:title":["Optimal design of eVTOLs for urban mobility using analytical target cascading (ATC)"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Systems & Entrepreneurial Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:56Z"}