{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/113994"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/113994","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Modeling and trajectory planning for acoustically aware aircraft with propeller phase control","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","abstract_has_math":false,"creators":["Patterson, Andrew"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Hovakimyan, Naira","Salapaka, Srinivasa","Stipanovic, Dusan","Voulgaris, Petros"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-04-29T21:46:14Z","date_published":"2022-04-29T21:46:14Z","updated_at":"2026-07-22T22:24:54Z","subjects":["Mechanical science"],"languages":["en","eng"],"rights":["Copyright 2021 Andrew Patterson"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/113994","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Hovakimyan, Naira","Salapaka, Srinivasa","Stipanovic, Dusan","Voulgaris, Petros"]},{"key":"dc:creator","label":"Author","values":["Patterson, Andrew"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-04-29T21:46:14Z","2024-04-29T21:47:53Z","2021-12","2021-12-02"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Mechanical science"]}]},{"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 2021 Andrew Patterson"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/113994"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","The student, Andrew Patterson, accepted the attached license on 2021-12-01 at 12:26.","The student, Andrew Patterson, submitted this Dissertation for approval on 2021-12-01 at 12:32.","This Dissertation was approved for publication on 2021-12-02 at 15:25.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17335 on 2022-04-06 at 17:17:38","Made available in DSpace on 2022-04-29T21:46:14Z (GMT). No. of bitstreams: 2 PATTERSON-DISSERTATION-2021.pdf: 8159025 bytes, checksum: cd14eb4e719bca0b284a8c32017c9dce (MD5) LICENSE.txt: 4213 bytes, checksum: 72baf84500c3a47ca9dd1015a941df39 (MD5) Previous issue date: 2021-12-02","Embargo set by: Seth Robbins for item 123358 Lift date: 2024-04-29T21:46:25Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 123358 Lift date: 2024-04-29T21:47:53Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only","Autonomous air vehicles need to be aware of the noise they are creating and be able to adjust their flight operations to meet acoustic constraints. Despite advancements in noise estimation and reduction, acoustic models for vehicles are still limited. These models are either too complex for planning or too simple to capture important components of vehicle noise. As a result of this simplicity, planning-based noise reduction methods are limited to adjusting flight plans by moving away from acoustic constraints or slowing down the vehicle speed. This research presents a framework for predicting and reducing the noise created by distributed electric propulsion vehicles. The presented framework uses an acoustic model that captures the directivity and interference of the vehicle's propellers. This model is used to plan trajectories that meet acoustic constraints without changing the vehicle path or speed. To predict the vehicle noise, we first introduce a machine learning method that approximates the noise generated by each propeller for a given flight condition. This learning method is trained on a computationally expensive acoustic model. The approximation is then combined with a vehicle model and a dynamically feasible trajectory generation method to predict the sound pressure levels created by the vehicle trajectory. The approximation achieves less than 6% maximum error on the cross-validation dataset. To reduce the environmental noise without changing the vehicle path, we demonstrate a propeller synchronization method that causes the propeller noises to interfere destructively. This method is called phase control and is validated for two electrically powered propellers in an anechoic chamber. In this test, noise is reduced by more than 15 dB. Further, the method is demonstrated in simulation, where a ten-propeller vehicle must pass between two acoustic constraints. A surrogate optimization procedure is applied to the phase selection problem for this more complex scenario. The optimized phase angles produce a sound pressure reduction of approximately 17 dB, satisfying the constraints without changing the vehicle speed or spatial trajectory."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Modeling and trajectory planning for acoustically aware aircraft with propeller phase control"]}]}],"canonical_facts":{"dc:contributor":["Hovakimyan, Naira","Salapaka, Srinivasa","Stipanovic, Dusan","Voulgaris, Petros"],"dc:creator":["Patterson, Andrew"],"dc:date":["2022-04-29T21:46:14Z","2024-04-29T21:47:53Z","2021-12","2021-12-02"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","The student, Andrew Patterson, accepted the attached license on 2021-12-01 at 12:26.","The student, Andrew Patterson, submitted this Dissertation for approval on 2021-12-01 at 12:32.","This Dissertation was approved for publication on 2021-12-02 at 15:25.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17335 on 2022-04-06 at 17:17:38","Made available in DSpace on 2022-04-29T21:46:14Z (GMT). No. of bitstreams: 2 PATTERSON-DISSERTATION-2021.pdf: 8159025 bytes, checksum: cd14eb4e719bca0b284a8c32017c9dce (MD5) LICENSE.txt: 4213 bytes, checksum: 72baf84500c3a47ca9dd1015a941df39 (MD5) Previous issue date: 2021-12-02","Embargo set by: Seth Robbins for item 123358 Lift date: 2024-04-29T21:46:25Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 123358 Lift date: 2024-04-29T21:47:53Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only","Autonomous air vehicles need to be aware of the noise they are creating and be able to adjust their flight operations to meet acoustic constraints. Despite advancements in noise estimation and reduction, acoustic models for vehicles are still limited. These models are either too complex for planning or too simple to capture important components of vehicle noise. As a result of this simplicity, planning-based noise reduction methods are limited to adjusting flight plans by moving away from acoustic constraints or slowing down the vehicle speed. This research presents a framework for predicting and reducing the noise created by distributed electric propulsion vehicles. The presented framework uses an acoustic model that captures the directivity and interference of the vehicle's propellers. This model is used to plan trajectories that meet acoustic constraints without changing the vehicle path or speed. To predict the vehicle noise, we first introduce a machine learning method that approximates the noise generated by each propeller for a given flight condition. This learning method is trained on a computationally expensive acoustic model. The approximation is then combined with a vehicle model and a dynamically feasible trajectory generation method to predict the sound pressure levels created by the vehicle trajectory. The approximation achieves less than 6% maximum error on the cross-validation dataset. To reduce the environmental noise without changing the vehicle path, we demonstrate a propeller synchronization method that causes the propeller noises to interfere destructively. This method is called phase control and is validated for two electrically powered propellers in an anechoic chamber. In this test, noise is reduced by more than 15 dB. Further, the method is demonstrated in simulation, where a ten-propeller vehicle must pass between two acoustic constraints. A surrogate optimization procedure is applied to the phase selection problem for this more complex scenario. The optimized phase angles produce a sound pressure reduction of approximately 17 dB, satisfying the constraints without changing the vehicle speed or spatial trajectory."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/113994"],"dc:language":["en","eng"],"dc:rights":["Copyright 2021 Andrew Patterson"],"dc:subject":["Mechanical science"],"dc:title":["Modeling and trajectory planning for acoustically aware aircraft with propeller phase control"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:54Z"}