A photovoltaic (PV) module has a nonlinear characteristic caused by a change in atmospheric condition. Therefore, maximum power point tracking (MPPT) methods are used to extract the maximum power of the PV module. The conventional method, such as perturbation and observation (P&O) and incremental conductance (INC), has drawbacks such as oscillation at the MPP during power fast tracking and power divergence under rapidly changing atmospheric condition. Thus, fuzzy logic controller (FLC) is implemented in the PV system to avoid the conventional problem. FLC method has not only fast response under rapidly changing atmospheric conditions but also small oscillation at the MPP. However, FLC presents difficulty of modification and tuning of control rules. The research shows that the FLC disadvantages can be reduced using single-fuzzy logic controller (S-FLC) without degrading performance. Furthermore, the control algorithm on DSP can be simplified. In the implementation, the MPPT system includes DSP TMS320F2808 as the controller, a boost DC/DC converter and resistive load. The experiment results prove that the S-FLC MPPT method performs similarly to the FLC MPPT method, and the expected MPPT efficiency can be achieved.

A photovoltaic (PV) module has a nonlinear characteristic caused by a change in atmospheric condition. Therefore, maximum power point tracking (MPPT) methods are used to extract the maximum power of the PV module. The conventional method, such as perturbation and observation (P&O) and incremental conductance (INC), has drawbacks such as oscillation at the MPP during power fast tracking and power divergence under rapidly changing atmospheric condition. Thus, fuzzy logic controller (FLC) is implemented in the PV system to avoid the conventional problem. FLC method has not only fast response under rapidly changing atmospheric conditions but also small oscillation at the MPP. However, FLC presents difficulty of modification and tuning of control rules. The research shows that the FLC disadvantages can be reduced using single-fuzzy logic controller (S-FLC) without degrading performance. Furthermore, the control algorithm on DSP can be simplified. In the implementation, the MPPT system includes DSP TMS320F2808 as the controller, a boost DC/DC converter and resistive load. The experiment results prove that the S-FLC MPPT method performs similarly to the FLC MPPT method, and the expected MPPT efficiency can be achieved.

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