DocumentCode
482627
Title
A nural network indentification method for the inverter
Author
ChengYan
Author_Institution
Wuhan Univ., Wuhan
fYear
2008
fDate
17-20 Oct. 2008
Firstpage
1810
Lastpage
1813
Abstract
The paper investigates the use of neural networks for identification of power converter. A nonparametric model of the AC-to-DC inverter implemented by means of a neural network identifies the inverter dynamics in cases of uncertainty in the input voltage supply and/or load parameter. The circuit consists of a main circuit, control system, together with the source inductance and the output filter. The ultimate object is used in the analysis of power system. Simulation results in a PWM inverter under large-signal operation illustrate the applications and detect the characteristics of the circuit.
Keywords
AC-DC power convertors; PWM invertors; PWM power convertors; neural nets; power engineering computing; AC-DC inverter; PWM inverter; neural network identification method; nonparametric model; power converter; power system analysis; Circuits; Control systems; Inductance; Neural networks; Power system dynamics; Power system modeling; Power system simulation; Pulse width modulation inverters; Uncertainty; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3826-6
Electronic_ISBN
978-7-5062-9221-4
Type
conf
Filename
4771031
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