The Experts below are selected from a list of 54 Experts worldwide ranked by ideXlab platform
Hua-yao Zheng - One of the best experts on this subject based on the ideXlab platform.
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Sensorless and Fuzzy Neuro-Network Control of IPMSM Drives for Ship Electric Propulsion
2007 International Conference on Machine Learning and Cybernetics, 2007Co-Authors: Hua-yao ZhengAbstract: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).
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Sensorless Control for Ship Electric Propulsion IPMSM Drives using Fuzzy Neuro-network
2006 IEEE International Conference on Industrial Technology, 2006Co-Authors: Hua-yao Zheng, Bu-lai WangAbstract: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).
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Design of ship electric propulsion simulation system
2005 International Conference on Machine Learning and Cybernetics, 2005Co-Authors: Hua-yao Zheng, Bu-lai Wang, Ai-di ShenAbstract:The EPS Hybrid simulation lab was designed, and it contained EPS simulative structure and integrated power system (IPS). The simulation system was connected by the CAN-bus field technology, and DSP controls the propulsion motor and the load direct generator (DG). The vessel-Propeller math module was built, and simulated the Propeller Characteristic. The EPS lab meets with students and sailors' training requirement, and progresses through scientific research. It is helpful for the shipyard and related institutes to carry out some experiments for design.
Bu-lai Wang - One of the best experts on this subject based on the ideXlab platform.
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Sensorless Control for Ship Electric Propulsion IPMSM Drives using Fuzzy Neuro-network
2006 IEEE International Conference on Industrial Technology, 2006Co-Authors: Hua-yao Zheng, Bu-lai WangAbstract: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).
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Design of ship electric propulsion simulation system
2005 International Conference on Machine Learning and Cybernetics, 2005Co-Authors: Hua-yao Zheng, Bu-lai Wang, Ai-di ShenAbstract:The EPS Hybrid simulation lab was designed, and it contained EPS simulative structure and integrated power system (IPS). The simulation system was connected by the CAN-bus field technology, and DSP controls the propulsion motor and the load direct generator (DG). The vessel-Propeller math module was built, and simulated the Propeller Characteristic. The EPS lab meets with students and sailors' training requirement, and progresses through scientific research. It is helpful for the shipyard and related institutes to carry out some experiments for design.
Shaobo Kang - One of the best experts on this subject based on the ideXlab platform.
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Simulation and analysis of ship electrical propulsion system in waves
2011 IEEE International Conference on Mechatronics and Automation, 2011Co-Authors: Yaohua Luo, Jiang You, Shaobo KangAbstract:For safe and cost effective operations, high performance vessel electrical propulsion systems are needed. However, limited attention has earlier been given to the effects of the propulsion system dynamics in waves. A Propeller open water test has been finished to study the Propeller Characteristic in waves. A model of ship motion considered regular waves is introduced and the inverter-motor-drive system based on rotor magnetic field vector control is studied. Simulation results show the interaction between ship, inverter-motor-drive system and the Propeller. The model presented can predict load variations of vessel electrical propulsion systems in waves.
Dieter Adam - One of the best experts on this subject based on the ideXlab platform.
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interaction with factor associated with neutral sphingomyelinase activation a wd motif containing protein identifies receptor for activated c kinase 1 as a novel component of the signaling pathways of the p55 tnf receptor
Journal of Immunology, 2002Co-Authors: Anna Ewgenjewna Tcherkasowa, Sabine Adamklages, Marieluise Kruse, Katja Wiegmann, Sabine Mathieu, Waldemar Kolanus, Martin Kronke, Dieter AdamAbstract:Factor associated with neutral sphingomyelinase activation (FAN) represents a p55 TNFR (TNF-R55)-associated protein essential for the activation of neutral sphingomyelinase. By means of the yeast interaction trap system, we have identified the scaffolding protein receptor for activated C-kinase (RACK)1 as an interaction partner of FAN. Mapping studies in yeast revealed that RACK1 is recruited to the C-terminal WD-repeat region of FAN and binds to FAN through a domain located within WD repeats V to VII of RACK1. Our data indicate that binding of both proteins is not mediated by linear motifs but requires folding into a secondary structure, such as the multibladed Propeller Characteristic of WD-repeat proteins. The interaction of FAN and RACK1 was verified in vitro by glutathione S-transferase-based coprecipitation assays as well as in eukaryotic cells by coimmunoprecipitation experiments. Colocalization studies in transfected cells suggest that TNF-R55 forms a complex with FAN and that this complex recruits RACK1 to the plasma membrane. Furthermore, activation of N-SMase by TNF was strongly enhanced when RACK1, FAN, and a noncytotoxic TNF-R55 mutant were expressed concurrently, suggesting RACK1 as a modulator of N-SMase activation. Together, these findings implicate RACK1 as a novel component of the signaling pathways of TNF-R55.
Yaohua Luo - One of the best experts on this subject based on the ideXlab platform.
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Simulation and analysis of ship electrical propulsion system in waves
2011 IEEE International Conference on Mechatronics and Automation, 2011Co-Authors: Yaohua Luo, Jiang You, Shaobo KangAbstract:For safe and cost effective operations, high performance vessel electrical propulsion systems are needed. However, limited attention has earlier been given to the effects of the propulsion system dynamics in waves. A Propeller open water test has been finished to study the Propeller Characteristic in waves. A model of ship motion considered regular waves is introduced and the inverter-motor-drive system based on rotor magnetic field vector control is studied. Simulation results show the interaction between ship, inverter-motor-drive system and the Propeller. The model presented can predict load variations of vessel electrical propulsion systems in waves.
