DocumentCode :
2656426
Title :
A new algorithm of neuron PID control based on intelligent gain
Author :
Junli, Li ; Guanghui, Zhang ; Xiaohong, Zhu
Author_Institution :
Coll. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
7
Lastpage :
10
Abstract :
A new algorithm of neuron PID control based on intelligent gain is put forward, in which the mathematical model of objectives is not required, and the gain of the neuron PID controller is adjusted adaptively by fuzzy control strategy which has intelligent weight function. This method speeds up the response of control system. Simulation experiment of various process models shows that the algorithm is of good performance and strong robust.
Keywords :
fuzzy control; neurocontrollers; robust control; three-term control; control system; fuzzy control strategy; intelligent gain; intelligent weight function; neuron PID control; Automation; Control systems; Educational institutions; Electronic mail; Fuzzy control; Intelligent control; Mathematical model; Neurons; Robustness; Three-term control; Fuzzy Control; Gain; Neuron PID Control; Weight Function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4604949
Filename :
4604949
Link To Document :
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