Sensorless and Fuzzy Neuro-Network Control of IPMSM Drives for Ship Electric Propulsion

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 mag...

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Bibliographic Details
Main Authors: Yi Guo, Hua-Yao Zheng, Xin-Yuan Tan
Format: Conference Proceeding
Language:English
Subjects:
DC generators
DSP
Fuzzy control
Fuzzy neuro-network
IPMSM
Load management
Marine vehicles
Permanent magnet motors
Position-sensorless
Propellers
Propulsion
Robust control
Sensorless control
Synchronous motors
Vessel-propeller model
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Description
Summary: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).
ISSN:2160-133X
DOI:10.1109/ICMLC.2007.4370233