Real-Time Implementation and Performance Analysis of State Estimation based Model Predictive Controller for CSTR Plant

被引：0

作者：

Geetha, M. ^{[1
]}

Naveen, R. ^{[1
]}

Jerome, Jovitha ^{[1
]}

Kumar, Suriya, V ^{[1
]}

机构：

[1] PSG Coll Technol, Coimbatore, Tamil Nadu, India

来源：

2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT) | 2013年

关键词：

MPC; State Estimation; EKF; CSTR; Servo-regulatory response;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Model Predictive Control (MPC) schemes are now widely used in process industries for the control of key unit operations. Linear model predictive control schemes which make use of linear dynamic model for prediction, limit their applicability to systems which exhibit mildly nonlinear dynamics. In this paper, a state estimation based model predictive controller for nonlinear system has been proposed. The model predictive controller is designed by considering a state space model and an extended Kalman filter to predict the future behavior of the system. The efficacy of the proposed MPC scheme has been demonstrated by conducting simulation studies on the level process of a Continuously Stirred Tank Reactor (CSTR) - a MIMO system, and the real time implementation has been done in the CSTR plant to illustrate the online optimization constraint and also the advantage of MPC over conventional controller by comparison of servo-regulatory responses through ISE values.

引用

页数：6

共 8 条

[1] NONLINEAR CONTROL OF CHEMICAL PROCESSES - A REVIEW [J].