Power Control in an On-Board PV Converter Using Disturbance Trend Prediction

This paper presents a fast adaptive power control with implicit predictive behavior for an onboard power converter operating in support with a 400 Hz aircraft electrical network. Accurate control of active and reactive power in such high-frequency networks requires precise estimation of the network voltage phase, frequency, and amplitude. To achieve this, a novel adaptive phase-locked loop (PLL) algorithm is integrated with a proportion-al–resonant (PR) current controller. The adaptive PLL continuously estimates the instan-taneous phase, frequency, and amplitude of the fundamental voltage component, ena-bling fast synchronization and dynamic adjustment of the PR controller resonant fre-quency. This combination familiarizes predictive characteristics into the control loop without the need for computationally intensive model predictive control algorithms. Sim-ulation results demonstrate that the proposed method significantly reduces synchroniza-tion time, maintains high accuracy under frequency variations and harmonic distortion, and exhibits robustness against measurement noise. Furthermore, the algorithm’s modu-lar and computationally efficient structure makes it suitable for real-time FPGA imple-mentation. The proposed approach provides an effective solution for high-performance power management in aircraft electrical systems, ensuring precise power control under hard dynamic conditions.