优化配置数字电容传感器(idcs)的孟古那坎方法粒子群优化

Ulfatul Khasanah
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摘要

(x)优化设计适用于IDCS中介电常数公式的数学分析。根据梯度优化的结果,得到的结果是:N不可能是1。这一限制是根据并联板电容器的原理,其中电容器配置的要求是由两个板组成。对于电极长度变量L,得到边界,即L≠0。在得到IDCS配置的边界后,进行第二阶段,即利用粒子群算法进行优化。优化参数为粒子数= 500,最大速度为20,学习因子= 2,惯性权重为0.8 - 1.2,达到最小误差时停止条件。PSO优化得到的结果范围为电极宽度1 ~ 3mm,电极间距1 ~ 3mm,电极数量3 ~ 7个,电极长度4 ~ 7 mm。通常出现误差最小的值是a = 3, b = 3, N = 6, L = 5。
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OPTIMASI KONFIGURASI INTER DIGITAL CAPACITORS SENSOR (IDCS) MENGGUNAKAN METODE PARTICLE SWARM OPTIMIZATION
(x). The optimization design is adapted to the mathematical analysis of the permittivity formulation in IDCS. Based on the gradient optimization results, the value of 𝑁 ≠ 1 is obtained, meaning that N cannot be 1. This limitation is in accordance with the principle of parallel plate capacitors, where the requirements for a capacitor configuration are to consist of two plates. For the electrode length variable (L) the Boundary is obtained, namely L≠ 0. After the Boundary for the IDCS configuration is obtained, the second stage is carried out, namely optimization using PSO. The parameters used for optimization are the number of particles = 500, the maximum speed is 20, the learning factor = 2, the inertia weight is 0.8 – 1.2 and the stop condition when it reaches the minimum error. The range of results from the PSO optimization is the width of the electrode 1-3 mm, the distance between the two electrodes is 1-3mm, the number of electrodes is between 3-7, the length of the electrode is 4-7 mm. The values that often appear with the smallest error are a = 3, b = 3, N = 6, L = 5.
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