2026-09-20T13:50:09Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/72811 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Pilawa-Podgurski, Robert C. Barth, Christopher 2015-01-21T19:48:27Z 2015-01-21T19:48:27Z 2014-12 2015-01-21 2014-12 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. Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-12-08T19:42:44Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Barth_Christopher_Thesis_Files.zip: 16225167 bytes, checksum: d59f1dfbbcbd1b2b5be72619bfa9739d (MD5) Barth_Christopher.pdf: 4630044 bytes, checksum: fe4e4b349846bffb148d3d1944934ba5 (MD5) Made available in DSpace on 2015-01-21T19:48:27Z (GMT). No. of bitstreams: 2 Christopher_Barth.pdf: 4630044 bytes, checksum: fe4e4b349846bffb148d3d1944934ba5 (MD5) Barth_Christopher_Thesis_Files.zip: 16225167 bytes, checksum: d59f1dfbbcbd1b2b5be72619bfa9739d (MD5) http://hdl.handle.net/2142/72811 en Copyright 2014 Christopher Barth 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) Implementation of dithering digital ripple correlation control for photovoltaic maximum power point tracking with windowed sensing text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS