Order reduction of linear time invariant large-scale system by preserving the impact of dominant poles in the reduced model. (4th May 2022)

• Record Type: Journal Article
• Authors: Deb, Pragati Shrivastava; G, Leena
• Is Part Of: International journal of modelling & simulation. Volume 42:Number 3(2022)
• Page Start: 506
• Page End: 517
• Publication Date: 2022-05-04
• Subjects: Dominant pole -- reduced order model -- single input single output -- higher order system -- discrete time system; Mathematical models -- Periodicals; Simulation methods -- Periodicals; Mathematical models; Simulation methods; Periodicals; 003.3
• DOI: 10.1080/02286203.2021.1934796
• Languages: English
• ISSNs: 0228-6203

Abstract

ABSTRACT: This paper introduces a new reduction method for linear time-invariant continuous and discrete-time systems. The method is created considering only the effect of the dominance pole to get the reduced-order model. The denominator coefficient of reduced order model (ROM) is obtained by conserving the dominant poles of a higher order system while the numerator polynomial of the reduced model is found by comparing the original system transfer function with the transfer function of desired reduced order model. Five standard numeric examples are examined from literature considering single input single output (SISO) and discrete systems. To prove the validity, accuracy and simplicity of the proposed method, the results obtained are compared with other recent established and well-known techniques like Truncation and Routh Stability methods.