NDLI: An implementation of HIA (humoral immune algorithm) PID controller using neural network identifier

Content Provider	IEEE Xplore Digital Library
Author	Lee, Y.J. Song, D.H. Choi, S.U. Lee, J.W. Lee, K.S.
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. Instrum. & Control, Korea Aviation Polytech. Coll., Sachon City, South Korea (Lee, Y.J.)
Abstract	In this paper, an adaptive mechanism based on HIA (humoral immune algorithm) is designed. When the HIA is applied to the PID controller, there exists the case that the plant is damaged by the abrupt change of PID parameters since the parameters are adjusted almost randomly. To solve this problem, a neural network is used to model the plant and the parameter tuning of the system is performed by the humoral immune algorithm. After the PID parameters are determined through this off-line manner, these gains are then applied to the plant for the online control using immune adaptive algorithm. Moreover, even though the neural network model may not be accurate enough initially, the weighting parameters are adjusted to be accurate through the online fine tuning. The experiment for the control of the AGV system is performed. The results show that the proposed controller has better performances than other conventional controllers.
Starting Page	331
Ending Page	334
File Size	406383
Page Count	4
File Format	PDF
ISBN	0780373065
DOI	10.1109/SICE.2001.977856
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-27
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Three-term control Neural networks Immune system Control systems Information processing Mathematical model Constraint optimization Adaptive control Algorithm design and analysis Automotive engineering
Content Type	Text
Resource Type	Article

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