精馏塔温度控制系统的优化研究
Optimization Study of Distillation Column Temperature Control System
唐明明 1干树川2
作者信息
- 1. 四川轻化工大学自动化与信息工程学院,四川 宜宾 644000
- 2. 四川轻化工大学自动化与信息工程学院,四川 宜宾 644000;人工智能四川省重点实验室,四川 宜宾 644000
- 折叠
摘要
针对精馏塔系统存在耦合、时滞、非线性等问题,传统的控制算法不能取得较好的控制效果,而一般的预测控制算法也存在计算量大以及逆矩阵存在性的问题.引入阶梯式控制对动态矩阵控制(DMC)算法进行改进,以降低矩阵的维数,从而大幅减小计算量.考虑到传统算法只是对当前的误差信息进行校正,忽略了未来时刻的误差信息,因此加入输出误差校正项有利于充分利用误差信息.在仿真平台上分别对前馈解耦比例积分微分(PID)控制算法、传统DMC算法和改进DMC算法进行仿真.仿真试验结果表明,改进DMC算法在响应速度与稳定性方面优于其余两种算法.该研究结果不仅证明了改进DMC算法的优势,还展现出了现代新型控制策略的优势,有望推动现代控制策略在实际过程控制上的应用.
Abstract
For the distillation column system has coupling,time lag,nonlinearity and other problems,traditional control algorithms can not achieve better control results,and the general predictive control algorithms also has the problems of large computation as well as the existence of inverse matrix.Stepwise control is introduced to improve the dynamic matrix control(DMC)algorithm to reduce the dimensionality of the matrix,thus reducing the computational amount significantly.Considering that the traditional algorithms only correct the current error information and ignores the error information in the future moments,the inclusion of the output error correction term is conducive to fully utilizing the error information.The feedforward decoupling proportional integral differential(PID)control algorithm,traditional DMC algorithm and improved DMC algorithm are simulated on the simulation platform respectively.The simulation experimental results show that the improved DMC algorithm is better than the remaining two algorithms in terms of response speed and stability.The results of this study not only prove the advantages of the improved DMC algorithm,but also show the advantages of the modern new control strategy,which is expected to promote the application of the modern control strategy on the actual process control.
关键词
精馏塔/动态矩阵控制/Matlab仿真/阶梯式控制/多变量系统/比例积分微分控制/解耦控制Key words
Distillation column/Dynamic matrix control(DMC)/Matlab simulation/Stepvvise control/Multivariable system/Proportional integral differential(PID)control/Decoupling control引用本文复制引用
出版年
2024
NETL
NSTL
万方数据