Adaptive Fuzzy Proportional-Integral-Derivative Excitation Control Strategy Based on Grey Prediction Theory for Electrically Excited Synchronous Generators

Abstract

In the excitation control system of the electrically excited synchronous generators (EESGs), the conventional fuzzy proportional-integral-derivative (FPID) excitation controller has inherent defects, such as control lag and limited adjustment speed, caused by feedback measurement delay and signal processing delay. Grey prediction control is a typical feedforward control method with advantages such as low requirements for raw data, fast response speed and flexible adjustment strategies. However, it also inevitably has limitations such as excessive reliance on model precision and limited prediction accuracy. Hence, this paper improves the FPID excitation controller based on grey prediction theory and proposes an adaptive grey FPID excitation control strategy. The proposed adaptive grey FPID excitation control strategy exhibits multiple advantages, such as parameter adaptation, fast adjustment speed and strong robustness. Both simulation and experimental results have also confirmed the significant advantages of the proposed control strategy compared to conventional FPID control.