In:
International Journal of Online and Biomedical Engineering (iJOE), International Association of Online Engineering (IAOE), Vol. 9, No. 4 ( 2013-07-23), p. 38-
Abstract:
Aiming at the disadvantage that traditional PID controller parameter canâ??t be adjusted online timely, control effect is not ideal. this paper introduces a PID control algorithm based on the BP neural network by melting the regular PID controller and the self-turning learning neural network. The algorithm uses the BP neural network to build system parameter model, is able to track the changes of the controlled object, achieves a higher recognition accuracy. It amends the BP neural network weight coefficients by the BP algorithm, realizes adjustment of the PID parameters online. The results of the simulation show that these formulae has fast convergence ?high precision? and robustness.
Type of Medium:
Online Resource
ISSN:
2626-8493
DOI:
10.3991/ijoe.v9i4.2825
Language:
Unknown
Publisher:
International Association of Online Engineering (IAOE)
Publication Date:
2013
detail.hit.zdb_id:
2948215-X
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