Study of model-PI predictive controller for coke fractionation tower using Matlab

Amal Govind, U. Ramachandraiah
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Abstract

The control of coke fractionation tower has been an issue in both the Chemical engineering and process control field. It requires significant effort in practice to control the parameters in the coke fractionation tower. The performance of the conventional control design and tuning is found to be poor because of the non-linearity in the system. Real-time implementation showed that classical proportional-integral-derivative (PID) control using such models lacks enough robustness. In this study, a Model Predictive Control (MPC) associated with a PI control system is used to control the level process in a tower. The control loop contains both the MPC and PI control. This paper suggests the integration of conventional controller and MPC to improve the response of the system. The response of MPC-P and MPC-PI is compared. Result shows that MPC-PI produces good response than MPC-P.
基于Matlab的焦炭分馏塔模型- pi预测控制器研究
焦炭分馏塔的控制一直是化工和过程控制领域的研究热点。焦炭分馏塔的参数控制在实际操作中需要付出很大的努力。由于系统存在非线性,传统的控制设计和整定方法的性能较差。实时仿真结果表明,基于该模型的传统比例-积分-导数(PID)控制鲁棒性不足。本研究将模型预测控制(MPC)与PI控制系统相结合,用于控制塔内的液位过程。控制回路包含MPC和PI控制。本文提出将传统控制器与MPC相结合以提高系统的响应性。比较了MPC-P和MPC-PI的响应。结果表明,MPC-PI的响应优于MPC-P。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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