2026-09-19T06:46:40Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/116249 2023-07-11 col_2142_5131 col_2142_14787 com_2142_5130 com_2142_9630 com_2142_234

Alleyne, Andrew 2022-08 application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms The student, Philip Renkert, accepted the attached license on 2022-07-14 at 17:48. The student, Philip Renkert, submitted this Thesis for approval on 2022-07-14 at 17:52. This Thesis was approved for publication on 2022-07-19 at 09:40. DSpace SAF Submission Ingestion Package generated from Vireo submission #18322 on 2022-11-15 at 18:21:12 Component-based design optimization of multirotor aircraft Renkert, Philip 2022-07-19 multidisciplinary design optimization design optimization dynamic system design component-based design optimization Rising complexity of engineered systems, coupled with increasing specialization of companies and their design engineers, requires increasing degrees of coordination to ensure local design decisions are made in service of the system-level objective. Simultaneously, component-based design has become common practice in complex system design, and the problem of selecting components to optimize a system has gained traction in the literature. Existing approaches typically solve the discrete problem directly or parameterize the components and solve the problem in the continuous domain. This thesis develops a hybrid methodology for componentbased design optimization that leverages continuous-domain information to efficiently search the discrete design space. For demonstration, the process is applied in two case studies: the maximization of a quadrotor’s endurance per system price and the minimization of the time required for a planar quadrotor to complete a dynamic mission. Thesis eng https://hdl.handle.net/2142/116249 Copyright 2022 Philip Renkert M.S. Thesis Mechanical Engineering University of Illinois at Urbana-Champaign Mechanical Sci & Engineering