Real-time parameter identification for generator based on multi-sensors
Sun Jick Yang · 2003
Sensors of generators, subject to sensor aging and environmental electromagnetic disturbances, are prone to parameter faults in practical engineering. To cope with such problems, an online estimator based on strong tracking filter (STF) and multiple sensor fusion is proposed. In the estimator, nonlinear parameter model of generator can be dealt with by STF while redundancy of multiple sensors can be used to separate normal and abnormal sensors. Because of its natural parallel structure, few design parameters and low computation burden, the estimator is very suitable for engineering applications. Furthermore, it has strong robustness for abnormal sensors, which are easily separated and rejected via multiple sensor technique. The simulation shows its effectiveness.