DocumentCode :
510201
Title :
The Single Neuron PID Control for Large Time-Delay System Based on Grey Prediction
Author :
Ruiqing, Guo ; Qiming, Cheng ; Du Xufeng ; Mingmei, Wang
Author_Institution :
Coll. of Electr. Power & Autom., Shanghai Univ. of Electr. Power, Shanghai, China
Volume :
3
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
46
Lastpage :
49
Abstract :
In order to achieve fast and effective control for large time-delay system, the single neuron adaptive controller is used to control the large time-delay system. The controller can realize online real-time adjustment of controller parameters when the structure of the controlled object is changed. The single neuron PID control based on grey prediction which combines the single neuron adaptive controller with the grey prediction method overcomes the limitation of large delay in system by using the grey prediction value of the output instead of the measured value of the output and achieving a "pre-conditioning". Simulation results verify that the controller has excellent adaptability and robustness. The control performances are greatly improved.
Keywords :
adaptive control; delay systems; grey systems; three-term control; grey prediction; online real-time adjustment; single neuron PID control; single neuron adaptive controller; time delay system; Adaptive control; Artificial intelligence; Automatic control; Control systems; Neurofeedback; Neurons; Predictive control; Programmable control; Robust control; Three-term control; adaptive; grey prediction; single neuron; time-delay system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.191
Filename :
5376513
Link To Document :
بازگشت