An intelligent controller design based on the neuroendocrine algorithm for the plasma density control system on Tokamak devices

Autor: Zhixue Cui, Yuzhong Zhang, Shuangbao Shu, J. R. Luo, Qiaosheng Pan, Feng Ji, Ming Zhang, Chenyao Xing, Chao Liu, Zhipeng Chen, Xiaojie Tao
Rok vydání: 2020
Předmět:
Zdroj: Fusion Engineering and Design. 161:111965
ISSN: 0920-3796
DOI: 10.1016/j.fusengdes.2020.111965
Popis: Realization of real-time and accurate control of plasma electron density is one of the key points for the long-time steady-state operation of Tokamak. Based on the mechanism model of the neuroendocrine regulatory principle, this paper designs an intelligent controller and studies its application on the plasma density control system (PDCS) for the J-TEXT Tokamak. This PDCS uses the HCN laser interferometer to obtain the density signal, and controls the gas puffing valve through the proposed intelligent control algorithm to achieve accurate density control. The controller mainly includes a hypothalamic regulation module, a single neuron proportional-integral-differential (PID) control module and an ultrashort feedback module. It is designed and referenced to the long feedback, short feedback, and ultra-short feedback loop mechanisms of the human neuroendocrine hormone regulation. The proposed controller makes the PID parameters be adjusted on-line in real-time and achieves rapid and stable elimination of errors. The simulations and experimental results show that the proposed method, compared with the conventional PID control method, can synthetically improve the performance of the control system.
Databáze: OpenAIRE
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