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

The paper presents a fast adaptive power control with implicit predictive behavior for an on-board power converter operating in support of 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. Therefore, a proposed adaptive phase-locked loop (PLL) algorithm is integrated with a proportional resonant current controller (PR). The adaptive PLL continuously estimates the instantaneous phase, frequency, and amplitude of the fundamental voltage component, enabling fast synchronization and dynamic adjustment of the PR controller resonant frequency. Consequently, the combination familiarises anticipatory response characteristics with the control loop without the need for computationally intensive model predictive control algorithms. The simulation results demonstrate that the proposed method significantly reduces the synchronization time, maintains high accuracy under frequency variations and harmonic distortion, and exhibits robustness against measurement noise. Furthermore, the modular and computationally efficient structure of the algorithm makes it suitable for real-time implementation of FPGA. The proposed approach provides an effective solution for high-performance power management in aircraft electrical systems, ensuring precise power control under hard dynamic conditions.