Sensorless Control for Ship Electric Propulsion IPMSM Drives using Fuzzy Neuro-network

Abstract

For the control of ship electric propulsion interior permanent-magnet synchronous motor (IPMSM), the position-sensorless observer and based neuro-fuzzy PI controller had been designed, the position sensorless of the flux-observer-based control scheme can obtain an accurate knowledge of the motor magnetic behavior, and lead to good robustness against load variations. A fuzzy basis neuro-network is utilized for online tuning of the PI controller to ensure optimum drive performance. The DC generator simulates the propeller characteristic as the load of the propulsion motor, the proposed observer and controller had been investigated, and they have been carried out in the digital signal process (DSP).