Adaptive robust maximum power point tracking control for perturbed photovoltaic systems with output voltage...

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy

Background:

• Photovoltaic (PV) systems require efficient Maximum Power Point Tracking (MPPT) for optimal energy harvesting.
• MPPT performance is challenged by model uncertainties and environmental variations (irradiance, temperature).

Purpose of the Study:

• To develop robust MPPT algorithms for PV systems that are resilient to uncertainties and environmental changes.
• To eliminate the need for output voltage sensing and prior knowledge of uncertainty bounds in MPPT controllers.

Main Methods:

• Development of an adaptive sliding mode control (ASMC) algorithm based on a mathematical description.
• Design of an adaptive-based H∞ tracking algorithm using an update law for voltage estimation.
• Stability analysis of the proposed control schemes using the Lyapunov stability theorem.

Main Results:

• Proposed ASMC and adaptive H∞ algorithms achieve effective MPPT without output voltage sensing.
• Controllers do not require knowledge of the upper bounds of system uncertainties or environmental variations.
• Numerical and experimental studies validate the performance and stability of the developed methods.

Conclusions:

• The developed adaptive control strategies offer robust and efficient MPPT for PV systems.
• These methods simplify controller design by removing the need for extensive system parameter knowledge.
• The findings contribute to improved performance and reliability of solar energy systems.