DocumentCode :
3304541
Title :
An Intelligent Control Strategy for Power and Voltage of PEMFC Generator
Author :
Zhang, Ying-ying ; Sun, Ji-chang ; Du, Li-bin ; Zhang, Ying
Author_Institution :
Inst. of Oceanogr. Instrum., Shandong Acad. of Sci., Qingdao
Volume :
4
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
458
Lastpage :
462
Abstract :
The power of PEMFC (proton exchange membrane fuel cell) generator needs to be controlled to follow the variable load demand, and the voltage also needs to be conditioned for the load use. An intelligent power and the voltage control strategy of a 60 kW PEMFC generator current researched is presented in this paper. A BP (Back propagation) neuron network including a hidden layer is used to model the inverse system of PEMFC stack power. Then the nonlinear neuron network inverse control method is used to control the generator output power. A DC/DC boost converter and a DC/AC inverter are used to condition the stack voltage, which are both controlled by single neuron PI controllers in close loops. The total control strategy for the power and the voltage of the 60 kW PEMFC generator is proved efficient and easy implement by simulation tests.
Keywords :
DC-AC power convertors; DC-DC power convertors; PI control; backpropagation; closed loop systems; invertors; machine control; neurocontrollers; power control; proton exchange membrane fuel cells; voltage control; DC/AC inverter; DC/DC boost converter; PEMFC generator; PEMFC stack power; backpropagation neuron network; close loops; intelligent control strategy; nonlinear neuron network inverse control method; power control; proton exchange membrane fuel cell generator; single neuron PI controllers; stack voltage; variable load demand; voltage control; Analog-digital conversion; Biomembranes; Fuel cells; Intelligent control; Inverse problems; Neurons; Power generation; Power system modeling; Protons; Voltage control; Proton Exchange Membrane Fuel Cell (PEMFC); load following; nonlinear neuron network inverse control; single neuron PI control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.50
Filename :
4667325
Link To Document :
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