Abstract
This article introduces a novel control approach for tackling the maximum power point tracking (MPPT) and output voltage regulation (VR) in photovoltaic (PV) cell systems. Leveraging the port-Hamiltonian (pH) formalism, an energy-based framework known for its physically multidomain modeling and control methodologies, our proposed control law offers promising solutions. Our control design is rooted in an interconnection damping assignment passivity-based strategy, incorporating temperature dependencies of the internal PV cell parameters. To validate the efficacy of our approach, we modeled, implemented, and calibrated a prototype system comprising a PV cell, a dc-dc buck converter, and a dc-dc boost converter that feeds a battery load. The entire setup is designed within the pH framework, ensuring a cohesive integration of energy-based control. To highlight our energy-based strategy's reliability and performance, we evaluated it against a commercial solar charger under real solar irradiance conditions. Our experimental findings unequivocally demonstrate that the control mechanism employed by the commercial solar charger demands a significantly higher amount of energy and exhibits a premature collapse at lower power levels when compared to our proposed system and control strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 479-492 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Control Systems Technology |
| Volume | 33 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Battery charger
- dc-dc converter
- maximum power point tracking (MPPT)
- nonlinear control
- output voltage regulation (VR)
- passivity-based control
- port-Hamiltonian (pH) framework
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