 The proposed Adaptive Fractional Order PID, AFOPID, compensator is designed for use with a standalone photovoltaic PV system. It uses a feed-forward neural network to generate a reference voltage, which is then used as input to a conventional FOPID compensator. The FOPID compensator is modified with an online state error-driven adaptation law that adjusts the fractional order of its integral and differential operators based on the current operating conditions. This allows the AFOPID compensator to be more responsive to changes in the operating environment, resulting in improved tracking accuracy and faster transient response times. This article was authored by Omar Saleem, Shariar Ali, and Jamshedik Ball.