Design of State Estimation Based Model Predictive Controller for a Two Tank Interacting System

被引：4

作者：

Geetha, M. ^{[1
]}

Jerome, Jovitha ^{[1
]}

Devatha, V ^{[1
]}

机构：

[1] PSG Coll Technol, Dept Instrumentat & Control Syst Engn, Coimbatore 641004, Tamil Nadu, India

来源：

INTERNATIONAL CONFERENCE ON DESIGN AND MANUFACTURING (ICONDM2013) | 2013年 / 64卷

关键词：

Model Predictive Control; State Estimation; Extended Kalman Filter; Two Tank Interacting System; Servo operation;

D O I：

10.1016/j.proeng.2013.09.096

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Model Predictive Control (MPC) schemes are now widely used in process industries for the control of key unit operations. 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 behaviour of the system. The efficacy of the proposed MPC scheme has been demonstrated by conducting simulation studies on a two tank interacting system, a MIMO system. The analysis of the extensive dynamic simulation studies revealed that, the MPC scheme formulated produces satisfactory performance for servo operation. (C) 2013 The Authors. Published by Elsevier Ltd.

引用

页码：244 / 253

页数：10

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