基于改进内模的纸浆浓度控制

Pulp Concentration Control Based on Improved Internal Mold

中文关键词: 纸浆浓度控制  改进内模控制  Matlab仿真

英文关键词: pulp concentration control  improved internal model control  Matlab simulation

中文摘要:

      目的 为改善纸浆浓度控制系统的大滞后性、非线性和时变性，以提高纸浆浓度的控制性能。 方法 针对纸浆浓度控制问题提出一种改进的内模控制，该方法首先引进导引曲线将原来的目标控制改成过程控制，解决系统快速性与超调之间的矛盾；然后再引进被控对象的参考模型与给定滞后，将导引输出与参考模型取偏差作为控制回路A，再将给定滞后与被控对象取偏差作为控制回路B；最后再基于内模控制的原理分别针对回路A与回路B设计内模控制器，将二者控制器的输出取和作为总的控制器。结果 通过Matlab仿真软件搭建改进内模控制的纸浆浓度系统仿真平台，并与传统控制进行对比，仿真结果表明，系统的响应速度、跟踪性能、鲁棒性和抗干扰特性均优于传统的控制方法。结论 通过仿真验证了改进内模控制在纸浆浓度控制系统上的有效性和可行性，能够明显提高系统的综合性能指标。

英文摘要:

      The work aims to improve the control performance of pulp concentration to overcome the large lag, non-linearity and time variability of pulp concentration control system. For the pulp concentration control problem, a modified internal model control was put forward. This method firstly introduced direct curve to change the original target control to process control, thus solving the contradiction between system speediness and overshoot. Then, the reference model of controlled object and given lag were introduced to take the deviation between guide output and reference model as control circuit A and the deviation between given lag and controlled object as control circuit B. Finally, based on the principle of internal model control, the internal model controllers were respectively designed for circuits A and B, and the sum of output from the two controllers was taken as the general controller. The pulp concentration system simulation platform with improved internal model control was built by Matlab simulation software and compared with the traditional control. The simulation results showed that the response speed, tracking performance, robustness and anti-interference characteristics of the system were better than the traditional control method. The effectiveness and feasibility of improved internal model control in pulp concentration control system are verified by simulation, and the comprehensive performance index of the system can be improved obviously.