Plasma Breakdown Optimization Calculation Based on Improved Particle Swarm Algorithm for TT-1 Device

IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY
Shuangbao Shu, Jiaxin Zhang, Shurui Zhang, Jiarong Luo, Shanlin Liu
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Abstract

In the Tokamak discharge experiment, obtaining the largest possible null field region is a necessary condition for the smooth breakdown of the plasma, and adjusting the poloidal field coil current is key to achieving a better null field region. This paper, based on the Sino-Thai Tokamak cooperation project Thailand Tokamak-1 (TT-1) device, employs an exponentially decreasing Particle Swarm Optimization (PSO) algorithm to optimize the poloidal field coil current to create the desired null field region in the vacuum chamber area. First, a calculation model for the mutual inductance coefficient and the null field region is established according to the characteristics and magnetic structure of the TT-1 device, enabling the calculation of the null field region. Then, an optimization model for the poloidal field coil current is established, aiming to create a sufficiently large null field region (less than 10 Gauss) to facilitate breakdown. The optimization is carried out using both a typical linearly decreasing PSO algorithm and an improved PSO algorithm to determine the optimal poloidal field coil current. Compared to the unmodified PSO algorithm, the improved PSO algorithm reduces the root mean square error by 31.80%. The results show that the improved PSO algorithm is more suitable for the optimization of the poloidal field coil, has stronger optimization capabilities, and can effectively create the desired null field region, providing an important reference for the smooth breakdown of plasma in the TT-1 device.

Abstract Image

Abstract Image

基于改进型粒子群算法的 TT-1 设备等离子体击穿优化计算
在托卡马克放电实验中,获得尽可能大的空场区域是等离子体顺利击穿的必要条件,而调整极性场线圈电流是获得较好空场区域的关键。本文以中泰托卡马克合作项目泰国托卡马克-1(TT-1)装置为基础,采用指数递减的粒子群优化(PSO)算法,对极性场线圈电流进行优化,以在真空室区域创建所需的空场区域。首先,根据 TT-1 设备的特性和磁结构,建立互感系数和空场区域的计算模型,从而计算出空场区域。然后,建立了极环场线圈电流的优化模型,目的是创建足够大的空场区域(小于 10 高斯),以促进击穿。优化采用典型的线性递减 PSO 算法和改进的 PSO 算法,以确定最佳的极环场线圈电流。与未修改的 PSO 算法相比,改进的 PSO 算法将均方根误差降低了 31.80%。结果表明,改进后的 PSO 算法更适合于极环场线圈的优化,具有更强的优化能力,能有效创建所需的空场区域,为 TT-1 设备中等离子体的顺利击穿提供了重要参考。
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来源期刊
Journal of Fusion Energy
Journal of Fusion Energy 工程技术-核科学技术
CiteScore
2.20
自引率
0.00%
发文量
24
审稿时长
2.3 months
期刊介绍: The Journal of Fusion Energy features original research contributions and review papers examining and the development and enhancing the knowledge base of thermonuclear fusion as a potential power source. It is designed to serve as a journal of record for the publication of original research results in fundamental and applied physics, applied science and technological development. The journal publishes qualified papers based on peer reviews. This journal also provides a forum for discussing broader policies and strategies that have played, and will continue to play, a crucial role in fusion programs. In keeping with this theme, readers will find articles covering an array of important matters concerning strategy and program direction.
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