Optimised model reference adaptive control for an interacting two tank system

被引：0

作者：

Sreelatha, Preethi ^{[1
]}

Gandhi, Sanjeevi ^{[1
]}

机构：

[1] Karunya Univ, Dept Elect & Instrumentat, Coimbatore 641114, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION | 2014年 / 6卷 / 1-2期

关键词：

multi input multi output; model reference adaptive control; MRAC; two inputs two outputs; proportional-integral controller; genetic algorithm;

D O I：

10.1504/IJESMS.2014.058427

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, a method for controlling multivariable process is presented. The system under investigation is a two tank interacting process. A decoupler is designed in order to minimise the interaction effects. The model reference adaptive controller is then designed for the process with decoupler block. The tuning parameter gamma is optimised using genetic algorithm. GA optimised model reference adaptive controller was then compared with conventional controllers. The performance comparisons have been made in terms of rise time, settling time and performance criteria.

引用

页码：80 / 85

页数：6

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