Xie Chao-Fan, Chen Xiong, Zhang Hong
School of big data and artificial intelligence, Fujian Polytechnic Normal University, Fuzhou, FuJian, China.
School of Business and Trade Management, Fujian Polytechnic of Information Technology, Fuzhou, FuJian, China.
Sci Rep. 2024 Apr 20;14(1):9083. doi: 10.1038/s41598-024-59847-1.
Simulated moving bed (SMB) technology is considered one of the most successful techniques in chromatographic separation. However, due to the nonlinearity caused by discrete events and sensitivity to numerous separation performance parameters, purity control in SMB systems has been a challenging issue. Fuzzy controllers are increasingly popular in industrial environments due to their simplicity and effectiveness in handling nonlinearity. However, traditional fuzzy controllers used in industry often overlook considerations of error acceleration, resulting in slight deviations from target values under steady-state conditions and oscillatory behavior when system parameters change. This study proposes an advanced fuzzy controller, where in a series of experiments, the purity control targets for component B are set at 94% and 96%, and for component A are set at 96% and 96%, respectively. Experimental results indicate that the advanced fuzzy controller achieves higher precision, with an average deviation of around 0.1%, for both components B and A. Importantly, under variations in adsorbent parameter(from 0.01 to 0.03), feed concentration(from 4.5 to 5.2), and switching time(from 178 to 182), the experimental results demonstrate smoother control with the advanced controller, particularly when oscillations occur with conventional fuzzy controllers due to switching time variations, indicating robust control with the advanced fuzzy controller.
模拟移动床（SMB）技术被认为是色谱分离中最成功的技术之一。然而，由于离散事件引起的非线性以及对众多分离性能参数的敏感性，SMB系统中的纯度控制一直是一个具有挑战性的问题。模糊控制器因其在处理非线性方面的简单性和有效性而在工业环境中越来越受欢迎。然而，工业中使用的传统模糊控制器常常忽略误差加速度的考虑，导致在稳态条件下与目标值存在轻微偏差，并且当系统参数变化时会出现振荡行为。本研究提出了一种先进的模糊控制器，在一系列实验中，组分B的纯度控制目标分别设定为94%和96%，组分A的纯度控制目标分别设定为96%和96%。实验结果表明，先进的模糊控制器对组分B和A均实现了更高的精度，平均偏差约为0.1%。重要的是，在吸附剂参数（从0.01到0.03）、进料浓度（从4.5到5.2）和切换时间（从178到182）变化的情况下，实验结果表明先进控制器的控制更加平稳，特别是在由于切换时间变化导致传统模糊控制器出现振荡时，这表明先进模糊控制器具有鲁棒性。
