Reduction of SISO System Using Different Mixed Reduction Methods

Abstract

In the present work, various mixed methods fororder reduction of SISO system are available viz. stabilityequation method, Routh stability method, factor divisionalgorithm, modified pole clustering method and Padeapproximation. The denominator coefficients of reduced ordermodel are obtained by Routh stability method, stabilityequation method and modified pole clustering method. Thenumerator of the reduced order model is achieved by Padeapproximation and factor division algorithm. Three mixedtechniques factor division algorithm-modified pole clustering, Pade approximation method-stability equation method andfactor division algorithm-Routh stability method are analyzed. An example of SISO system is selected to analyze theperformance of mixed techniques.