Design of PID Controller using Artificial Neural Network for Step-up Power Converter in Photovoltaic Systems

The most attractive renewable energy resource that provides clean electricity via solar PV panels is solar irradiation received from the Sun. Solar energy is available mainly during the daytime, but solar photovoltaic (PV) panels can produce maximum power due to low efficiency. Hence, maximum power point tracking (MPPT) methods are used with solar PV systems. The interface required between solar PV panels and the load is a DC-DC converter, a power electronics device. This paper proposes a neural network-based PID controller for the boost converter. The well-known back prorogation neural network algorithm is used with PID structure to design a controller for the boost converter. The study is carried out with the help of MATLAB/Simulink software to show the test results. The simulations' outcome shows the proposed controller's efficacy when used with solar PV systems.