Parameters measurment of marine power system based on multi-sensors data fusion theory

The marine power system parameters, such as voltage, current, frequency and so on, are measured directly by single-sensor, whose accuracy, stability and reliability is lower. A new parameters measurment method of marine power system is proposed, which is synchronous sampling and distributed data fusion based on the optimal state estimation and the multi-sensor data fusion theory. Parameters measurment state model of marine power system is established, and the parameters are synchronously sampled by multi-sensor. The single-sensor measuring data is optimal estimated the by the Kalman filter, and the multi-sensor data is estimated globally. The simulation test shows that the new parameters measurment method based on multi-sensor data fusion has more accuracy and stability than direct measurment method with single-sensor.