
System Identification Of Internal Model Control
Internal Model Control
Farhan Mahbub(Author)
LAP Lambert Academic Publishing
Published on 19. October 2011
Book
Paperback/Softback
84 pages
978-3-8465-2352-0 (ISBN)
Description
Despite the fact that PID controllers are undoubtedly the most popular controller used in industrial control processes for decades, they do not perform well when applied to systems with significant time-delay. Recently ,researchers have realized that the IMC is particularly good for controlling time-delayed plants. Using of two algorithms Least square & Genetic algorithm designed the new internal model controller ,the issue of designing a internal model controller for dealing with the parameter uncertainties existing in the plant. The genetic algorithm controller design technique for dealing with parameter uncertainty existing in the plant will then be deployed to design internal model controllers. In particular the objective of the thesis are to: ¿ Investigate the deployment of the genetic algorithm in designing system identification for the plant. ¿ Developed simplified approach in designing IMC . ¿ Investigate the deployment of the genetic algorithm in designing IMC controller. ¿ Compare the performance of genetically tuned controller with Least square . ¿ Implement the genetically & least square tuned IMC controller on a real system and compare the performanc
More details
Language
English
Place of publication
Germany
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 6 mm
Weight
143 gr
ISBN-13
978-3-8465-2352-0 (9783846523520)
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Schweitzer Classification
Person
FARHAN MAHBUB (MS en Sistema de Control Avanzado de la Universidad de Salford) JEFE DEL DEPARTAMENTO DE INGENIERÍA MECATRÓNICA Como Jefe del Departamento de Mecatrónica, estoy entusiasmado con las diversas y ricas oportunidades para los estudiantes universitarios de la Universidad Mundial de Bangladesh.