Open AccessParameter Estimation and Predictive Control Design for a Nonlinear Reactive Distillation Column
Author(s) -
M. Manimaran,
S. Nagalakshmi,
V. Chitra
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d9964.118419
Subject(s) - reactive distillation , multivariable calculus , pid controller , model predictive control , control theory (sociology) , nonlinear system , fractionating column , controller (irrigation) , process (computing) , process control , distillation , matlab , column (typography) , control engineering , computer science , engineering , temperature control , chemistry , control (management) , chromatography , artificial intelligence , telecommunications , agronomy , physics , quantum mechanics , frame (networking) , biology , operating system
Reactive distillation column is one of the key elements in the process of Petroleum and chemical industries, which is having nonlinear, multivariable and non-stationary characteristics. The conventional controller like PID provides fruitless control action for nonlinear process. This paper deals the design of the various Model predictive controller algorithms to control composition and Temperature of the Reactive distillation column in biodiesel production. Here the Recursive Least square technique is used to estimate the parameters and build the exact model of the Process. The MATLAB policy is used and accomplished of the GPC, SMPC and PID.