Diagnosis and Prognosis of LCL Filter in Marine Electric Propulsion Systems

Abstract:

This paper presents an online technique to estimate the capacitance value of the LCL filter integrated with Active Front End Rectifier (AFER) used in marine vessels or offshore drilling/oil rigs. The proposed methodology is simple, robust and requires flux sensors in addition to the existing on-board sensors for grid-voltages, grid- and capacitor-currents measurements. The proposed online methodology is based on the fundamental components of inductor leakage fluxes, grid-voltages, grid- and capacitor-currents, which estimates both inductance and capacitance of the LCL filter. Based on the estimated values of the inductance and capacitance, a technique is proposed to estimate the resonant frequency of the LCL filter under real-time operating condition which can be used to pbkp_redict the maintenance schedule before any catastrophic failure. The proposed technique has been validated in a laboratory based 11.3kW marine electric propulsion test-rig for 7.7%, 10% and 14% degradation in the capacitance value of the LCL filter under different loading conditions. The estimated capacitance values under real-time operating condition agree with the measured values under offline conditions for various degrees of capacitance degradation and loading conditions.

Año de publicación:

2019

Keywords:

Fuente:

scopus