DocumentCode :
2550057
Title :
Analysis and Improvement of Intelligent PID Control Algorithm based on Neural Network
Author :
Zeng, Zhuo ; Liao, Jian Ming ; Li, Jian-ping
Author_Institution :
Sch. of Software, Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear :
2008
fDate :
13-15 Dec. 2008
Firstpage :
53
Lastpage :
56
Abstract :
A kind of adaptive PID control algorithm is analyzed, and the drawbacks of the existing algorithms are commented. As an improvement, a neural network intelligent control algorithm based on one-step prediction is developed. Result show that the new control method is more adaptable to the control of time-varying and nonlinear control systems.
Keywords :
adaptive control; control system analysis; neurocontrollers; nonlinear control systems; predictive control; three-term control; time-varying systems; adaptive control; control system analysis; intelligent PID control algorithm; neural network; nonlinear control system; predictive control; time-varying system; Adaptive control; Algorithm design and analysis; Control systems; Intelligent control; Intelligent networks; Neural networks; Nonlinear control systems; Programmable control; Three-term control; Time varying systems; Neural networks; intelligent PID control; one-step prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3427-5
Electronic_ISBN :
978-1-4244-3426-8
Type :
conf
DOI :
10.1109/ICACIA.2008.4769969
Filename :
4769969
Link To Document :
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