A Current Sensorless Control of Buck-Boost Converter for Maximum Power Point Tracking in Photovoltaic Applications

In the present paper, a current sensorless (CSL) method for buck-boost converter control is proposed for maximum power point tracking (MPPT) photovoltaic applications. The proposed control scheme uses the mathematical model of the buck-boost converter to derive a predefined objective function for the MPPT control. The proposed scheme does not require any current sensor and relies only on the input voltage signal, which decreases the implementation cost. The proposed method is successfully implemented using a Matlab/Simulink/Stateflow environment, and its effectiveness is compared over the perturb and observe (P&O) method. An experimental rig, that includes a buck-boost converter, a PV simulator, and a resistive load, is used for the experimental validation. A rapid Arduino prototyping platform is used for the digital implementation, where the SAM3X8E microcontroller of the Arduino DUE board, which integrates an ARM Cortex-M3 MCU, is used as a target hardware for the proposed model-based controller developed under the Stateflow environment. Furthermore, the integrated pulse width modulation (PWM) macrocell is used to generate accurate PWM gate-drive signals for the buck-boost converter. Compared to the P&O, the presented simulation and experimental results show that the proposed method has reduced the computation burden and the sensor cost of implementation by 24.3%, and 27.95%, respectively.

• current sensorless control
• buck-boost converter
• maximum power point tracking
• photovoltaic systems
• model-based control
• perturb and observe comparison
• Arduino Due
• computational complexity reduction
• cost reduction

• 7 — Énergie propre et d’un coût abordable
• 9 — Industrie, innovation et infrastructure

• Photovoltaic System Optimization Techniques
• Advanced DC-DC Converters
• Multilevel Inverters and Converters
• current sensorless control
• buck-boost converter
• maximum power point tracking
• photovoltaic systems
• model-based control
• perturb and observe comparison
• Arduino Due
• computational complexity reduction
• Renewable Energy, Sustainability and the Environment
• Electrical and Electronic Engineering
• Energy
• Engineering