Title :
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
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;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
Conference_Location :
Xianning
Print_ISBN :
978-1-4799-2859-0
DOI :
10.1109/CECNet.2013.6703271
