Efficiency optimization of a DSP-based standalone PV system using a stable single input fuzzy logic controller

This paper presents a new digital maximum power point tracking control scheme for a standalone photovoltaic (PV) system. It is built up on a single input fuzzy-logic (SIFLC), and based on the constant voltage algorithm. The SIFLC generates a duty cycle (D) signal which is the control one for the DC-DC Boost converter. The proposed SIFLC performances will be compared to these of the well-known P&O algorithm. A stability study for the Mamdani SIFLC controllers is performed and proposed. The Lyapunov method is considered for the stability analysis of the proposed control systems. This MPPT algorithm is then experimentally implemented all around a DSP1104 for a real-time driving. The obtained results show that the proposed SIFLC-MPPT clearly succeeds to track the maximum power point and shows a higher performance than regular MPPTs such as the P&O algorithm. Results of the experimental tests also prove the validity and robustness of the proposed overall PV system control scheme.