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.
JI Changpeng, WANG Zirui
. Graphene Preparation Control System Based on Adaptive Fuzzy PID[J]. Journal of Applied Sciences, 2022
, 40(5)
: 876
-886
.
DOI: 10.3969/j.issn.0255-8297.2022.05.016
[1] 敖东羿. 多层高品质石墨烯的大量制备及其应用研究[D]. 成都:电子科技大学, 2020.
[2] Madhuri Sharon, Maheshwa Sharon著; 张纯辉, 沈启慧译. 石墨烯:改变世界的新材料[M]. 北京:机械工业出版社, 2017.
[3] 李钦友, 周爱, 郭东来. 石墨烯/金复合薄膜微纳光纤集成光控波导[J]. 应用科学学报, 2018, 36(5):748-755. Li Q Y, Zhou A, Guo D L. Graphene/Au thin film coupled microfiber all-optical modulator[J]. Journal of Applied Sciences, 2018, 36(5):748-755. (in Chinese)
[4] 冯帆. 电解插层法制备石墨烯及其表征[D]. 哈尔滨:黑龙江科技大学, 2016.
[5] 付长璟. 石墨烯的制备、结构及应用[M]. 哈尔滨:哈尔滨工业大学出版社, 2017.
[6] 高亚辉, 尹国杰, 张少文, 等. 电化学法制备石墨烯的研究进展[J]. 材料工程, 2020, 48(8):84-100.Gao Y H, Yin G J, Zhang S W, et al. Research progress in electrochemical preparation of graphene[J]. Journal of Materials Engineering, 2020, 48(8):84-100. (in Chinese)
[7] 赵波, 姜莉, 袁铭辉, 等. 电化学法制备石墨烯及其复合材料[J]. 电化学, 2016, 22(1):1-19. Zhao B, Jiang L, Yuan M H, et al. Electrochemical syntheses of graphene and its composites[J]. Journal of Electrochemistry, 2016, 22(1):1-19. (in Chinese)
[8] 余瑞容. 高压H桥电机驱动电路的研究与设计[D]. 西安:西安电子科技大学, 2019.
[9] 冀常鹏, 孙巍. 变论域自适应模糊PID控制系统仿真与应用[J]. 测控技术, 2018, 37(10):119-123. Ji C P, Sun W. Simulation and application of variable universe adaptive fuzzy-PID control system[J]. Measurement & Control Technology, 2018, 37(10):119-123. (in Chinese)
[10] 王亚刚, 许晓鸣. 鲁棒自适应PID控制器[J]. 应用科学学报, 2009, 27(3):305-310. Wang Y G, Xu X M. Adaptive robust PID controllers[J]. Journal of Applied Sciences, 2009, 27(3):305-310. (in Chinese)
[11] 张邦成, 李淼, 高长春, 等. 基于模糊PID算法的轨道车辆LED照明控制系统设计[J]. 控制工程, 2014, 21(6):882-885, 890. Zhang B C, Li M, Gao C C, et al. The LED lighting control system of railway vehicle design based on the fuzzy PID algorithm[J]. Control Engineering of China, 2014, 21(6):882-885, 890. (in Chinese)
[12] 窦艳艳, 钱蕾, 冯金龙. 基于Matlab的模糊PID控制系统设计及仿真[J]. 电子科技, 2015, 28(2):119-122. Dou Y Y, Qian L, Feng J L. Design and simulation of fuzzy PID control system based on Matlab[J]. Electronic Science and Technology, 2015, 28(2):119-122. (in Chinese)
[13] 程启建. 模糊自整定PID控制器的研究及应用[D]. 西安:西安工业大学, 2016.
[14] 刘金琨. 先进PID控制MATLAB仿真[M]. 4版. 北京:电子工业出版社, 2016
[15] 宋伟, 李武君. 模糊PID控制系统设计及MATLAB仿真[J]. 云南化工, 2019, 46(09):156-157. Song W, Li W J. Fuzzy PID control system design and MATLAB simulation[J]. Yunnan Chemical Technology, 2019, 46(09):156-157. (in Chinese)
[16] 宋璐, 卫亚博, 冯艳平. 基于模糊PID的温度控制系统的设计与仿真[J]. 电子设计工程, 2020, 28(21):51-55. Song L, Wei Y B, Feng Y P. Design and simulation of temperature control system based on fuzzy PID[J]. Electronic Design Engineering, 2020, 28(21):51-55. (in Chinese)
[17] Wu X, Wu J T, Li D. Designation and simulation of environment laboratory temperature control system based on adaptive fuzzy PID[C]//2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2018:583-587.
[18] Feng G. A survey on analysis and design of model-based fuzzy control systems[J]. IEEE Transactions on Fuzzy systems, 2006, 14(5):676-697.
[19] 杨欣蓉. 变论域模糊控制在石墨烯温度控制中的应用[D]. 抚顺:辽宁石油化工大学, 2019.
[20] 王艳, 王健波, 许光辉, 等. 基于自适应模糊PID矫圆控制仿真与研究[J]. 控制工程, 2017, 24(2):250-256. Wang Y, Wang J B, Xu G H, et al. Study and simulation of correction of roundness based on fuzzy self-adaptive PID controller[J]. Control Engineering of China, 2017, 24(2):250-256. (in Chinese)
