Parameter Identification Method Research Based on the BP Neural Network and Space Search

Qiang Li; Zi Yang Xu

doi:10.4028/www.scientific.net/AMM.513-517.1165

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Parameter Identification Method Research Based on...

Parameter Identification Method Research Based on the BP Neural Network and Space Search

Abstract:

This paper researches the parameters identification of grid units primary frequency, introduces the process of identification: Data capture, Data filtering, Data normalization and Based on the BP neural network and the method of Space Search. First of all, train the network by the unit response data. Then, get network model of weights and threshold value and the output of the network. Last, in the set search space, search the optimal results by the set step. Using the output of Space Search and the output of the actual system to do comparison, when the error is minimum, identification success, get system parameter. Through the simulation test, the method of parameters identify based on the BP Neural Network and Space Search Method is effective.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

1165-1169

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.1165

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Online since:

February 2014

Authors:

Qiang Li*, Zi Yang Xu

Keywords:

BP Neural Network (BPNN), Data Capture, Parameter Identification, Space Search Method

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