SENSORLESS AND FUZZY NEURO-NETWORK CONTROL OF IPMSM DRIVES FOR SHIP ELECTRIC PROPULSION

摘要：

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).

关键词： Position-sensorless Fuzzy neuro-network IPMSM DSP Vessel-propeller model

作者: YI GUO HUA-YAO ZHENG XIN-YUAN TAN

作者单位: Logistics College, Shanghai Maritime University, Pudong Avenue 1550, 200135, China Marine Simulation Center, Shanghai Maritime University, Pudong Avenuel550,200135, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 694-699

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）