杨磊¹,薄翠梅¹,李俊¹,金万勤²,高福荣³

• 1:南京工业大学 电气工程与控制科学学院，江苏 南京 211816
• 2:南京工业大学 材料化学工程国家重点实验室，江苏 南京 211816
• 3:香港科技大学 化学工程与生物分子工程系，香港 九龙

摘要(Abstract)：

论文针对多批次半间歇化学反应过程特性，研究了二维迭代学习PI控制方法。在二维系统的框架下，综合考虑批次轴重复特性和时间轴动态特性，将PI控制器作为内环结构，使用迭代学习（iteratioe learning control，ILC）方法优化参考轨迹，建立二维ILC_PI控制器；以理想的半间歇反应机理模型为对象，进行ILC_PI方法的控制性能测试，分别引入冷流体流量、进料浓度、测量噪声等扰动测试系统性能，与变参数PID控制方法进行对比分析研究，仿真结果表明二维ILC_PI控制系统，可有效抑制不同类型重复扰动，实现动态特性大范围变化下的反应温度高精度控制。

关键词(KeyWords)： 间歇过程;二维系统;迭代学习PI控制;半间歇反应

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（61673205，21727818）；材料化学工程国家重点实验室开放课题（KL16-07）；江苏省六大高峰计划创新团队（TD-JMHB-009）。

作者(Author): 杨磊¹,薄翠梅¹,李俊¹,金万勤²,高福荣³

DOI: 10.3969/j.issn.1003-9015.2018.06.022

参考文献(References)：

• [1] Tang A, Tang A, Xiao D, et al. Batch-to-batch iterative learning control of a batch polymerization process based on online sequential extreme learning machine[J]. Industrial & Engineering Chemistry Research, 2009, 48(24):11108-11114.
  [2] Tsoi H P, Gao F. Control of injection velocity using a fuzzy logic rule-based controller for thermoplastics injection molding[J]. Polymer Engineering & Science, 1999, 39(1):3-17.
  [3] Yang Y, Gao F. Adaptive control of the filling velocity of thermoplastics injection molding[J]. Control Engineering Practice, 2000, 8(11):1285-1296.
  [4] Ge Z, Song Z, Steven X D, et al. Data mining and analytics in the process industry:the role of machine learning[J]. IEEE Access, 2017, 5(99):20590-20616.
  [5] Lee K S, Bang S H, Chang K S. Feedback-assisted iterative learning control based on an inverse process model[J]. Journal of Process Control, 1994, 4(4):77-89.
  [6] Lee K S, Lee J H. Iterative learning control-based batch process control technique for integrated control of end product properties and transient profiles of process variables[J]. Journal of Process Control, 2003, 13(7):607-621.
  [7] Shi J, Gao F, Wu T J. Single-cycle and multi-cycle generalized 2D model predictive iterative learning control (2D-GPILC) schemes for batch processes[J]. Journal of Process Control, 2007, 17(9):715-727.
  [8] Lu J, Cao Z, Gao F. A stable two-time dimensional (2D) model predictive control with zero terminal state constraints for constrained batch processes[J]. IFAC Papersonline, 2015, 48(8):514-519.
  [9] Liu T, Wang X Z, Chen J. Robust PID based indirect-type iterative learning control for batch processes with time-varying uncertainties[J]. Journal of Process control, 2014, 24(12):95-106.
  [10] Wang Y, Liu T, Zhao Z. Advanced PI control with simple learning set-point design:application on batch processes and robust stability analysis[J]. Chemical Engineering Science, 2012, 71(13):153-165.
  [11] Wang Y, Yang Y, Zhong Z. Robust stability analysis for an enhanced ILC-based PI controller[J]. Journal of Process Control, 2013, 23(2):201-214.
  [12] WANG Li-min (王立敏), YANG Ji-sheng (杨继胜), YU Jing-xian (于晶贤), et al. Iterative learning fault-tolerant control for batch process based on T-S fuzzy model (基于T-S模糊模型的间歇过程的迭代学习容错控制)[J]. CIESC Journal (化工学报), 2017, 68(3):1081-1089
  [13] WANG You-qing (王友清), ZHOU Dong-hua (周东华), GAO Fu-rong (高福荣). Two dimensional model theory of iterative learning control and its application (迭代学习控制的二维模型理论及其应用)[M]. Beijing (北京):Science Press (科学出版社), 2013.
  [14] Shi J, Gao F, Wu T J. Robust design of integrated feedback and iterative learning control of a batch process based on a 2D Roesser system[J]. Journal of Process Control, 2005, 15(8):907-924.
  [15] Marchetti A, Amrhein M, Chachuat B, et al. Scale-up of batch processes via decentralized control[J]. IFAC Proceedings Volumes, 2006, 39(2):221-226.
  [16] Chin I S, Lee K S, Lee J H. A technique for integrated quality control, profile control, and constraint handling for batch processes[J]. Industrial & Engineering Chemistry Research, 2000, 39(3):693-705.
  [17] ZHONG Qing-chang (钟庆昌), XIE Jian-ying (谢剑英), LI Hui (李辉). Variable parameter PID (变参数PID)[J]. Information and Control (信息与控制), 1999, 28(4):273-277.