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Development and Simulation of Maximum Power Point Tracking (MPPT) Controller with Ripple Correlation Control (RCC) for Deep Space Spacecraft

Mahmud, Sadab
http://orcid.org/0000-0001-8502-4770
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1588686169167826

Abstract Details

2020, Master of Science, University of Toledo, Electrical Engineering.
Solar energy is the main contributor of power in most spacecraft. With the growth of power requirements in spacecraft due to complex computational and instrumentational needs, it is essential that it is equipped with high-performance power converters. There also exists the challenge of mass and volume constraints for spacecraft; hence the power converters must be designed with high power density to meet such demands. To design power converters with high power density for space applications, radiation-hardened gallium nitride (GaN) semiconductor switches must be used. To meet the high-power requirements, the photovoltaics (PV) powering the system must also function at its maximum power point (MPP). Although PV efficiency has increased over time, solar irradiance and temperatures can fluctuate dramatically in deep space, which causes substantial variations in the MPP of the PV array, which can decrease the overall system efficiency. Thus, it is always imperative to track the MPP of the PV panels to maintain optimal efficiency. This thesis establishes GaN as the most suitable device in DC-DC converters for space applications and compares it with traditional semiconductor devices. To tackle the problem of maximum power point tracking (MPPT), this thesis shows the development and simulation of a digital MPPT controller, which employs the ripple correlation control (RCC) algorithm. It is explained why RCC supersedes the conventional perturb and observe (P&O) or incremental conductance methods, which are the currently used MPPT methods in space applications. The digital controller is developed using the StateAMS tool in SaberRD. The RCC algorithm can be implemented using analog circuitry as well; the development and simulation of an analog controller is also shown. This digital RCC-based MPPT controller logic can be ported to any microcontroller to be used as an MPPT controller for DC-DC converters with any topology. The results show the efficacy of the developed MPPT controller by swiftly and precisely tracking the MPP of the PV array in rapidly changing solar irradiance conditions.
Raghav Khanna (Committee Chair)
Ahmad Javaid (Committee Co-Chair)
Richard Molyet (Committee Member)
80 p.
Electrical Engineering

Recommended Citations

Citations

  • Mahmud, S. (2020). Development and Simulation of Maximum Power Point Tracking (MPPT) Controller with Ripple Correlation Control (RCC) for Deep Space Spacecraft [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1588686169167826

    APA Style (7th edition)

  • Mahmud, Sadab. Development and Simulation of Maximum Power Point Tracking (MPPT) Controller with Ripple Correlation Control (RCC) for Deep Space Spacecraft. 2020. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1588686169167826.

    MLA Style (8th edition)

  • Mahmud, Sadab. "Development and Simulation of Maximum Power Point Tracking (MPPT) Controller with Ripple Correlation Control (RCC) for Deep Space Spacecraft." Master's thesis, University of Toledo, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1588686169167826

    Chicago Manual of Style (17th edition)

toledo1588686169167826
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This open access ETD is published by University of Toledo and OhioLINK.