{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/72811"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/72811","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Implementation of dithering digital ripple correlation control for photovoltaic maximum power point tracking with windowed sensing","abstract":"This thesis presents the hardware demonstration of a new method for rapid and precise maximum power point tracking in photovoltaic applications using dithered PWM control. Constraints imposed by efficiency, cost and component size limit the available PWM resolution of a power converter, and may in turn limit the MPP tracking efficiency of the photovoltaic (PV) system. In these scenarios, PWM dithering can be used to improve average PWM resolution. This thesis provides the hardware demonstration of a control technique that uses ripple correlation control (RCC) on the dithering ripple, thereby achieving simultaneous fast tracking speed and high tracking accuracy. Moreover, the proposed method solves some of the practical challenges that have to date limited the effectiveness of RCC in solar PV applications. The theoretical derivation of dithering digital ripple correlation control (DDRCC) is reviewed, and a low-cost method of using digitally enhanced windowing to improve the effective sensing resolution of the system is presented. Finally, experimental results that show excellent tracking speed and accuracy with basic hardware requirements are given.","abstract_html":"This thesis presents the hardware demonstration of a new method for rapid and precise maximum power point tracking in photovoltaic applications using dithered PWM control. Constraints imposed by efficiency, cost and component size limit the available PWM resolution of a power converter, and may in turn limit the MPP tracking efficiency of the photovoltaic (PV) system. In these scenarios, PWM dithering can be used to improve average PWM resolution. This thesis provides the hardware demonstration of a control technique that uses ripple correlation control (RCC) on the dithering ripple, thereby achieving simultaneous fast tracking speed and high tracking accuracy. Moreover, the proposed method solves some of the practical challenges that have to date limited the effectiveness of RCC in solar PV applications. The theoretical derivation of dithering digital ripple correlation control (DDRCC) is reviewed, and a low-cost method of using digitally enhanced windowing to improve the effective sensing resolution of the system is presented. Finally, experimental results that show excellent tracking speed and accuracy with basic hardware requirements are given.","abstract_has_math":false,"creators":["Barth, Christopher"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Pilawa-Podgurski, Robert C."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-01-21T19:48:27Z","date_published":"2015-01-21T19:48:27Z","updated_at":"2026-07-22T22:26:07Z","subjects":["digital control of photovoltaics","digital ripple correlation control (DRCC)","energy harvesting","maximum power point trackers (MPPT)","Photovoltaic cells","ripple-based control","ripple correlation control (RCC)","solar energy","maximum power point tracking","digitally enhanced analog","windowed analog-to-digital converter (ADC)"],"languages":["en"],"rights":["Copyright 2014 Christopher Barth"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/72811","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Pilawa-Podgurski, Robert C."]},{"key":"dc:creator","label":"Author","values":["Barth, Christopher"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-01-21T19:48:27Z","2014-12","2015-01-21"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer 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":["digital control of photovoltaics","digital ripple correlation control (DRCC)","energy harvesting","maximum power point trackers (MPPT)","Photovoltaic cells","ripple-based control","ripple correlation control (RCC)","solar energy","maximum power point tracking","digitally enhanced analog","windowed analog-to-digital converter (ADC)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2014 Christopher Barth"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/72811"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This thesis presents the hardware demonstration of a new method for rapid and precise maximum power point tracking in photovoltaic applications using dithered PWM control. 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