Open AccessDesign of Controller for Large Scale Uncertain Systems via Reduces Order Model
Author(s) -
V. Narasimhulu
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst061248
Subject(s) - control theory (sociology) , flexibility (engineering) , reduction (mathematics) , controller (irrigation) , pid controller , model order reduction , computer science , stability (learning theory) , order (exchange) , scale (ratio) , simple (philosophy) , mathematical optimization , control engineering , mathematics , algorithm , engineering , control (management) , artificial intelligence , temperature control , projection (relational algebra) , philosophy , biology , geometry , epistemology , quantum mechanics , machine learning , agronomy , statistics , physics , finance , economics
In This paper, a method of designing the Controller for large scale uncertain systems. The Controller isdesigned via a reduced order model for a given high order system. An optimized reduced order model isderived with minimum ISE. The proposed method guarantees stability of the reduced model, if the originalhigh order system is stable system. A PID controller is designed for the high order original systems throughits low order model proposed. This paper presents an improvement to generalized least squares method ofmodel order reduction. The improvement enhances the flexibility of the method with very little computationalrequirement. The reduction procedure is simple, efficient and always generates stable reduced models for thestable high order systems. The proposed method is illustrated with typical numerical examples taken fromthe literature and the results are compared with the other existing methods to show its superiority.