Research on Single Neuron Adaptive PID Controller

Xiu Jia Chen; Hong Di Qiu

doi:10.4028/www.scientific.net/AMM.651-653.826

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653Research on Single Neuron Adaptive PID Controller

Research on Single Neuron Adaptive PID Controller

Abstract:

The paper focuses on single neuron adaptive PID controller based on unsupervised Hebb algorithm, and simulation research on the controller is carried out for a second-order pure lag process system. Simulation results show that through learning and adjusting weights of single neuron adaptive PID controller, its online self-tuning ability can make timely adjustment of PID controller parameters according to controlled object changes and external disturbances in order to ensure that the stability and robustness of the system and, ultimately, more satisfactory actual control effect is obtained. At last, the control characteristics and parameter design rules are concluded.

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Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

826-830

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.826

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Online since:

September 2014

Authors:

Xiu Jia Chen*, Hong Di Qiu

Keywords:

Adaptive, PID Controller, Single Neuron, Unsupervised Hebb Algorithm

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