PRBS based model identification and GPC PID control design for MIMO Process

被引：0

作者：

Yadav, Eadala Sarath ^{[1
]}

Indiran, Thirunavukkarasu ^{[1
]}

机构：

[1] Manipal Acad Higher Educ, Manipal Inst Technol, Manipal 576104, Karnataka, India

来源：

MATERIALS TODAY-PROCEEDINGS | 2019年 / 17卷

关键词：

PRBS; MIMO Process; GPC PID; Plant uncertainties; Constrained inputs; SYSTEM IDENTIFICATION; UNSTABLE SYSTEMS; TIME; FREQUENCY; SIGNALS;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper expounds the system identification of Multi Input and Multi Output (MIMO) process using Pseudo Random Binary Sequence (PRBS) input signal. Random input signal to the process procures the whole dynamics of the process around desired operating region. Capturing system dynamics using PBRS is more efficient, since it comprises of both positive and negative changes within the input sequence. Besides system modeling, this papers also gives an exposure on PID control design using Generalized Predictive Control (GPC) algorithm. Modeling using PRBS input signal and control design approach using GPC-PID is addressed by considering the case study of experimental MIMO processes. Results depict the efficiency of control design even in plant uncertainty conditions and performance is incorporated. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页码：16 / 25

页数：10

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