Adaptive Single Neuron PID Control with Fuzzy and Self-Tuning in Networked Control Systems

Hai Chen Yu; Cheng Shao; De Sheng Zhou

doi:10.4028/www.scientific.net/AMM.235.152

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 235Adaptive Single Neuron PID Control with Fuzzy and...

Adaptive Single Neuron PID Control with Fuzzy and Self-Tuning in Networked Control Systems

Abstract:

As the varied time-delay caused by the network in NCSs, the analysis and design of NCSs become more difficult. In this paper, the single neuron PID control algorithm is modified by adjusting adaptively the scale factor and learning rate of the neuron with fuzzy rulers subject to NCSs. It is observed from the simulation that the proposed method has a well dynamic and adaptive performance.

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Periodical:

Applied Mechanics and Materials (Volume 235)

Pages:

152-157

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.235.152

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Online since:

November 2012

Authors:

Hai Chen Yu, Cheng Shao, De Sheng Zhou

Keywords:

Adaptive Control, Fuzzy Control, Networked Control System (NCS), Single Neural PID

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References

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