Design of parameter self-turning fuzzy controller based on immune regulation mechanism

被引：0
|
作者：
Liu B. [1 ]
Ye H. [1 ,2 ]
Cai M. [1 ]
机构：
[1] College of Information and Control Engineering, China University of Petroleum, Qingdao
[2] Qingdao Xingyi Electronic Equipment Co. Ltd., 41st Institute of CETC, Qingdao
来源：
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | 2019年 / 50卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Antigen presentation; Fuzzy controller; Self-tuning; T cell regulation;
D O I：
10.11817/j.issn.1672-7207.2019.04.016
中图分类号：
学科分类号：
摘要：
In order to solve the problem that the controller parameters of conventional fuzzy control algorithm cannot be adjusted online and the steady-state accuracy was not high enough, a fuzzy self-tuning control algorithm based on immune regulation mechanism was proposed. In the stage of dynamic adjustment, the T cell regulation mechanism of biological immune system was used to adjust the controller parameters to achieve better dynamic performance of the control system. In the stage of steady regulation, based on the principle of antigen presentation, the input deviation of controller was processed nonlinearly, and the controller parameter was adjusted at the same time to improve its sensitivity, so as to overcome the defect of steady accuracy of conventional fuzzy controller. At last, the improved control algorithm was applied to the nonlinear temperature object of a bioreactor in order to testify its control performance. The results show that compared with the conventional fuzzy control algorithm and PID algorithm, the improved self-tuning fuzzy control algorithm based on immune regulation can achieve better control effect and stronger anti-interference ability. © 2019, Central South University Press. All right reserved.
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页码：881 / 891
页数：10
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