东北大学学报:自然科学版 ›› 2017, Vol. 38 ›› Issue (6): 783-788.DOI: 10.12068/j.issn.1005-3026.2017.06.005

• 信息与控制 • 上一篇    下一篇

机械制浆过程磨机负荷内模PI控制

李明杰, 周平   

  1. (东北大学 流程工业综合自动化国家重点实验室, 辽宁 沈阳110819)
  • 收稿日期:2016-01-12 修回日期:2016-01-12 出版日期:2017-06-15 发布日期:2017-06-11
  • 通讯作者: 李明杰
  • 作者简介:李明杰(1988-), 男, 河南周口人,东北大学博士研究生.
  • 基金资助:
    国家自然科学基金资助项目(61333007, 61473064); 辽宁省教育厅科技项目(L20150186).

Internal Model PI Control of Refiner Load for Mechanical Pulping Process

LI Ming-jie, ZHOU Ping   

  1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China.
  • Received:2016-01-12 Revised:2016-01-12 Online:2017-06-15 Published:2017-06-11
  • Contact: LI Ming-jie
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摘要: 针对双盘磨机在运行过程中具有大滞后、大惯性及非线性等特点,内模控制作为一种先进控制策略,鉴于其对过程模型精度要求不高等优点,提出了一种基于内模控制原理的PI控制方法,该方法设计的控制器仅有一个可调参数,且通过最大灵敏度指标实现其整定,有效避免了控制器整定的复杂性与随机性.仿真结果表明,与常规PID控制相比,所提方法可有效减小模型参数变化及各种干扰对系统性能的影响,满足机械制浆生产过程对控制器性能的要求,保证磨机安全稳定运行,实现了磨机负荷的稳定化控制,为机械制浆过程综合自动化系统的实施奠定基础.

关键词: 机械制浆过程, 磨机负荷, 内模控制, PI控制, 鲁棒性

Abstract: The double disks refiner has large time delay, large inertia and nonlinear characteristics during operation, whereas the internal model control, as an advanced control strategy, given its advantages of not requiring high accuracy in the process model. A PI control method was proposed based on internal model control principle, which has only one adjustable parameter in the designed controller, achieving tuning by maximum sensitivity indicator, thus the complexity and randomness of controller tuning could be effectively avoided. Simulation results show that, compared with the conventional PID control, the model parameters variations and alleviate various interference on system performancecan be effectively reduced by using the proposed method, and the requirements of mechanical pulping process for controller properties can be satisfied to ensure the stable control of the mill load, laying the foundation for the implementation of the integrated automation system for pulping process.

Key words: mechanical pulping process, refiner load, internal model control, PI control, robustness

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