Application of PID with Single-Neuron Adaptive Control in Liquid Level Control

Author

Tang, Xiangjiao ; Huang, Tinglei ; Liu, Xiaoyu ; Wang, Jun

Author_Institution

Comput. & Control Inst., Guilin Univ. of Electron. Technol., Guilin, China

fYear

2009

fDate

14-17 Oct. 2009

Firstpage

533

Lastpage

536

Abstract

As the liquid position control system has the characteristic of a large time delay, instability and non-linear, a neural network self-adaptive PID controller based on self-adaptive PID and neural network is introduced in this paper, it can optimize and adjust the controller parameters on line. The system simulation is carried out in the end. The simulation results show that the control effect of this method has good dynamic performance, robustness and good practicality.

Keywords

adaptive control; delays; flow control; neurocontrollers; nonlinear control systems; stability; three-term control; PID control; instability characteristic; liquid level control; neural network; nonlinear characteristic; self-adaptive control; single-neuron control; time delay characteristic; Adaptive control; Control systems; Delay effects; Level control; Neural networks; Neurons; Nonlinear control systems; Programmable control; Robust control; Three-term control; self-Adaptive PID Control; single-neuron;

fLanguage

English

Publisher

ieee

Conference_Titel

Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on

Conference_Location

Guilin

Print_ISBN

978-0-7695-3899-0

Type

conf

DOI

10.1109/WGEC.2009.66

Filename

5402778