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应用科学学报 ›› 2022, Vol. 40 ›› Issue (5): 876-886.doi: 10.3969/j.issn.0255-8297.2022.05.016

• 计算机科学与应用 • 上一篇    

基于自适应模糊PID的石墨烯制备控制系统

冀常鹏1, 王紫瑞2   

  1. 1. 辽宁工程技术大学 电子与信息工程学院, 辽宁 葫芦岛 125105;
    2. 辽宁工程技术大学 研究生院, 辽宁 葫芦岛 125105
  • 收稿日期:2021-11-18 出版日期:2022-09-30 发布日期:2022-09-30
  • 通信作者: 冀常鹏,教授,研究方向为智能控制、计算机通信与网络等研究。E-mail:ccp@lntu.edu.cn E-mail:ccp@lntu.edu.cn

Graphene Preparation Control System Based on Adaptive Fuzzy PID

JI Changpeng1, WANG Zirui2   

  1. 1. School of Electronic and Information Engineering, Liaoning Technical University, Huludao 125105, Liaoning, China;
    2. Graduate School, Liaoning Technical University, Huludao 125105, Liaoning, China
  • Received:2021-11-18 Online:2022-09-30 Published:2022-09-30

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摘要： 石墨烯制备的电解过程具有非线性和不确定性，使用传统的比例积分微分（proportion integration differentiation，PID）控制算法难以精确掌控制备过程中的电解电流以及电解液离子浓度，导致在电解法制备石墨烯过程中，易出现团聚和剥离不均匀的问题，据此设计了一种自适应模糊PID算法并建立相应的数学模型，利用该模型可以更好地控制石墨烯制备的工艺精度。使用MATLAB进行自适应模糊PID算法和传统PID算法的对比仿真，并针对仿真结果进行分析讨论。自适应模糊PID算法的响应时间、抗干扰能力和稳定性等性能相较于传统PID算法都要更加优秀，更加符合石墨烯制备控制系统要求。

关键词: 石墨烯, 电解法, 重心法, 模糊控制, 比例积分微分

Abstract: The electrolytic process of graphene preparation is nonlinear and uncertain. Using the traditional proportional integration differentiation (PID) control algorithm is difficult to accurately control the electrolytic current and electrolyte ion concentration in the preparation process, resulting in the problems of uneven agglomeration and stripping in the process of graphene preparation by electrolysis, Accordingly, an adaptive fuzzy PID algorithm is designed and the corresponding mathematical model is established. The process accuracy of graphene preparation can be better controlled by using the model. The comparative simulation of adaptive fuzzy PID algorithm and traditional PID algorithm is carried out with MATLAB, and the simulation results are analyzed and discussed. The adaptive fuzzy PID algorithm is better in the performs of response time, anti-interference ability and stability, and more in line with the requirements of graphene preparation control system than the traditional PID algorithm.

Key words: graphene, electrolytic method, center of gravity method, fuzzy control, proportional integration differentiation (PID)

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