A study on PID intelligent optimization based on radial basis function neural networks

Author

Wei Wu ; Sheng Zhong ; Guopeng Zhou

Author_Institution

Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China

fYear

2013

fDate

20-22 Nov. 2013

Firstpage

57

Lastpage

60

Abstract

Application of Neural Networks (NN) control receives worthy results in approximation to unknown dynamic systems. This paper presents an intelligent controller based on radial basis function neural networks as an improvement model from traditional PID control for the novelty: construct a radial basis function neural network to identify the uncertainly load disturbance online thus adjust parameters timely with self-adapting ability. The simulation verifies the effectiveness of this control strategy.

Keywords

neurocontrollers; optimal control; optimisation; radial basis function networks; self-adjusting systems; three-term control; NN control; PID control; PID intelligent optimization; intelligent controller; load disturbance; radial basis function neural networks; self-adapting ability; unknown dynamic systems; Adaptation models; Artificial neural networks; Biological neural networks; Neurons; PD control; Radial basis function networks; Vectors; PID control; intelligent control; radial basis function neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on

Conference_Location

Xianning

Print_ISBN

978-1-4799-2859-0

Type

conf

DOI

10.1109/CECNet.2013.6703271

Filename

6703271