基于改进遗传算法和有限元分析的罗氏线圈结构优化设计

针对矿热炉电极电流过大、难以实时精确测量等问题,结合改进遗传算法和有限元分析,设计了一种优化的罗氏线圈结构,并进一步建立了罗氏线圈优化系统。首先根据罗氏线圈的测量原理,结合COMSOL软件,建立罗氏线圈仿真模型,并在不同结构参数情况下,对罗氏线圈的测量结果进行分析和比较。通过COMSOL和MATLAB混合编程,以罗氏线圈测量准确率为优化目标函数,结合精英保存策略和惩罚函数改进的遗传算法,实现了罗氏线圈结构的优化设计。优化设计的罗氏线圈在组合使用后能够较精确地测量矿热炉电极电流,满足了矿热炉电极电流测量的要求,具有较好的实用价值。

Optimization Design of Rogowski Coil Structure Based on Improved Genetic Algorithm and Finite Element Analysis

Aiming at the problems that the electrode current of submerged arc furnace is too large and difficult to measure at close distance, combined with the improved genetic algorithm and finite element analysis, the paper designed an optimized Rogowski coil structure and further established the Rogowski coil optimization system. Firstly, according to the measurement principles of Rogowski coil, combined with COMSOL software, the Rogowski coil simulation model was established, and the measurement results of Rogowski coil were analyzed and compared under different structural parameters. Through the mixed programming of COMSOL and MATLAB, setting the measurement accuracy of Rogowski coil as the optimization objective function, combined with the genetic algorithm improved by elite preservation strategy and penalty function, the paper realized the optimization design of Rogowski coil structure. The Rogowski coil structure optimally designed in this paper can accurately measure the electrode current of submerged arc furnace and meet the requirements of the electrode current measurement of submerged arc furnace, which has good practical value.