Title :
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
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;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.66
