Abstract 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.

中文翻译：

---

基于神经内分泌算法的托卡马克装置等离子体密度控制系统智能控制器设计

摘要 实现等离子体电子密度的实时准确控制是托卡马克长期稳态运行的关键点之一。本文基于神经内分泌调节原理的机理模型，设计了一种智能控制器，并研究了其在J-TEXT托卡马克等离子体密度控制系统(PDCS)中的应用。该PDCS采用HCN激光干涉仪获取密度信号，通过提出的智能控制算法控制排气阀，实现精确的密度控制。控制器主要包括下丘脑调节模块、单神经元比例积分微分（PID）控制模块和超短反馈模块。它是针对长反馈、短反馈、人类神经内分泌激素调节的超短反馈回路机制。所提出的控制器使PID参数实时在线调整，实现快速稳定的误差消除。仿真和实验结果表明，与传统的PID控制方法相比，所提出的方法可以综合提高控制系统的性能。