Component-based design optimization of multirotor aircraft

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Mechanical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2022

Author dc:creator

• Renkert, Philip

Contributors dc:contributor

• Alleyne, Andrew

• multidisciplinary design optimization
• design optimization
• dynamic system design
• component-based design optimization

Statement dc:rights

• Copyright 2022 Philip Renkert

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/116249

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F116249