Simulation of Complex High Order Systems using Reduced Order Models

A computer oriented algorithmic method is proposed to overcome the serious disadvantage of the classical Pade approximation technique often resulting in unstable reduced models from stable high order systems. For a desired kth order reduced model, the 2kth time moment is adjusted for stability while...

Full description

Saved in:
Bibliographic Details
Main Authors: Pal, Jayanta, Sarvesh, B., Ghosh, M. K.
Format: Conference Proceeding
Language:English
Subjects:
Density estimation robust algorithm
Equations
Frequency domain analysis
Frequency response
Polynomials
Power system modeling
Reduced order systems
Stability criteria
Steady-state
Time factors
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A computer oriented algorithmic method is proposed to overcome the serious disadvantage of the classical Pade approximation technique often resulting in unstable reduced models from stable high order systems. For a desired kth order reduced model, the 2kth time moment is adjusted for stability while the initial (2k-1) time moments of the original system are retained in the reduced model. Some typical numerical examples show that this method gives a stable model with better time and frequency response matching properties.
DOI:10.23919/ACC.1993.4793278