Skip to Main content Skip to Navigation
Conference papers

Parameters Turning of the Active-Disturbance Rejection Controller Based on RBF Neural Network

Abstract : The Active-disturbance rejection control (ADRC) has the advantage of strong robustness, anti-interference capability, and it does not rely on the accurate math model of controlled plant. But the parameter self-turning of ADRC isn’t as easy as PID controller because there are more parameters to turn in ADRC. In this paper the parameters are self-turning by the Radial Basis Function (RBF) Neural Network. The results of the simulation indicate that the controller has good anti-interference capability and fast response. The robustness of the system is improved.
Document type :
Conference papers
Complete list of metadata

Cited literature [4 references]  Display  Hide  Download

https://hal.inria.fr/hal-01564845
Contributor : Hal Ifip <>
Submitted on : Wednesday, July 19, 2017 - 11:23:38 AM
Last modification on : Thursday, March 5, 2020 - 5:42:52 PM

File

978-3-642-18369-0_30_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Baifen Liu, Ying Gao. Parameters Turning of the Active-Disturbance Rejection Controller Based on RBF Neural Network. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.260-267, ⟨10.1007/978-3-642-18369-0_30⟩. ⟨hal-01564845⟩

Share

Metrics

Record views

113

Files downloads

398