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
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