Research on Single Neuron Adaptive PID Controller

被引：3
|
作者：
Chen, Xiujia [1 ]
Qiu, Hongdi [2 ]
机构：
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
[2] Dalian Maritime Univ, Informat Sci Technol Coll, Dalian 116026, Peoples R China
来源：
MATERIAL SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY II | 2014年 / 651-653卷
基金：
中国国家自然科学基金;
关键词：
single neuron; unsupervised Hebb algorithm; adaptive; PID controller;
D O I：
10.4028/www.scientific.net/AMM.651-653.826
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
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.
引用
收藏
页码：826 / +
页数：2
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