Parameter Identification and Control Strategy Optimization of Hybrid Fuel Cell Powertrain

2009 ◽  
Vol 45 (02) ◽  
pp. 56 ◽  
Author(s):  
Liangfei XU
Keyword(s):  
Fuel Cell ◽  
Parameter Identification ◽  
Control Strategy ◽  
And Control

Research on Dynamics Parameter Identification of Limb for Rehabilitation Robot

2010 ◽  
Vol 455 ◽  
pp. 585-589
Author(s):  
Xiao Bo Guo ◽  
Y. Zhai
Keyword(s):  
Parameter Identification ◽  
Control Strategy ◽  
Back Propagation ◽  
The State ◽  
New Method ◽  
Neutral Network ◽  
Rehabilitation Robot ◽  
Training Mode ◽  
Simulation Results ◽  
And Control

Because of rehabilitants with various characteristics, rehabilitation robot must perceive the rehabilitant states(strength and position) and then adopt corresponding training mode and control strategy. So how to obtain the state of a rehabilitative limb correctly is very significant for a rehabilitation robot during the training. A new method of dynamics parameter identification of limb based on BP (back propagation) artificial neutral network is presented to offer rehabilitation robot dependable information of limb. The simulation results prove that the method of parameter identification can achieve the state of a rehabilitation limb veraciously and robustly. It can suit different rehabilitants at different stages of rehabilitation even if a spasm happens during training.

scholarly journals Modeling and Control Strategy Development for Fuel Cell Electric Vehicles

2004 ◽  
Vol 37 (22) ◽  
pp. 1-8 ◽  
Author(s):  
Andreas Schell ◽  
Huei Peng ◽  
Doanh Tran ◽  
Euthie Stamos ◽  
Chan-Chiao Lin ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Strategy Development ◽  
Modeling And Control ◽  
Fuel Cell Electric Vehicles ◽  
And Control

Modelling and control strategy development for fuel cell electric vehicles

2005 ◽  
Vol 29 (1) ◽  
pp. 159-168 ◽  
Author(s):  
Andreas Schell ◽  
Huei Peng ◽  
Doanh Tran ◽  
Euthie Stamos ◽  
Chan-Chiao Lin ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Strategy Development ◽  
Fuel Cell Electric Vehicles ◽  
And Control

scholarly journals Modelling and control of solid oxide fuel cell generation system in microgrid

2017 ◽  
Vol 68 (6) ◽  
pp. 405-414
Author(s):  
Niancheng Zhou ◽  
Chunyan Li ◽  
Fangqing Sun ◽  
Qianggang Wang
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Control Strategy ◽  
Response Speed ◽  
Solid Oxide ◽  
Smooth Transition ◽  
Oxide Fuel ◽  
Hysteretic Control ◽  
Islanded Mode ◽  
And Control

AbstractCompared with other kinds of fuel cells, solid oxide fuel cell (SOFC) has been widely used in microgrids because of its higher efficiency and longer operation life. The weakness of SOFC lies in its slow response speed when grid disturbance occurs. This paper presents a control strategy that can promote the response speed and limit the fault current impulse for SOFC systems integrated into microgrids. First, the hysteretic control of the bidirectional DC-DC converter, which joins the SOFC and DC bus together, is explored. In addition, an improved droop control with limited current protection is applied in the DC-AC inverter, and the active synchronization control is applied to ensure a smooth transition of the microgrid between the grid-connected mode and the islanded mode. To validate the effectiveness of this control strategy, the control model was built and simulated in PSCAD/EMTDC.

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