The authors propose a mixed method for reducing the order of the high order dynamic systems. In this method, the denominator polynomial of the reduced order model is obtained by using the basic characteristics of the higher order system which are maintained in the reduced model while the coefficients of the numerator are obtained by using factor division method. This method is fundamentally simple and generates stable reduced models if the original high-order system is stable. The proposed method is illustrated with the help of the numerical example taken from the literature.
Introduction
Conclusion
The authors presented an order reduction method for the linear dynamic system of high order systems. The basic characteristics of original system are utilized for determination of denominator polynomial of the reduced model while Factor division algorithm is used for calculation of the numerator coefficients. The advantages of proposed method are stable, simplicity, efficient and computer oriented. The proposed method has been explained with an example taken from the literature. The step responses and Bode plots of the original and reduced system of second order are shown in the Figure-1 and Figure-2 respectively. A quantitative comparison of reduced order model obtain by proposed method with the original system is shown in the Table-I from which we can conclude that proposed method is comparable in quality.
References
[1] V. Singh, D. Chandra and H. Kar, “Improved Routh Pade approximants: A Computer aided approach”, IEEE Trans. Autom. Control, 49(2), pp.292-296, 2004.
[2] S.Mukherjee and R.N. Mishra, “Reduced order modeling of linear multivariable systems using an error minimization technique”, Journal of Franklin Inst., 325 (2), pp.235-245, 1988.
[3] Sastry G.V.K.R Raja Rao G. and Mallikarjuna Rao P., “Large scale interval system modeling using Routh approximants”, Electronic Letters, 36(8), pp.768-769, 2000.
[4] R. Prasad, “Pade type model order reduction for multivariable systems using Routh approximation”, Computers and Electrical Engineering, 26, pp.445-459, 2000.
[5] Chen. C.F and Shieh, L.S,’ A novel approach to linear model simplification’, Int. J. Control, Vol. 22, No.2, pp. 231-238, 1972.
[6] Shieh, L.S. and Goldman, M.J., “Continued fraction expansion and inversion of the Cauer third form”, IEEE Trans. Circuits and Systems, Vol. CAS 21, pp.341-345, 1974.
[7] Chuang S.C. “Application of C.F methods for modeling Transfer function to give more accurate initial transient response”, Electronic letter 1970, pp 861-863.
[8] Shamash Y, “Stable reduced order models using Pade type aproximants”, IEEE Trans. Autom. Control, Vol.AC-19, No.5, npp.615-616,October 1974.
[9] Sumit Modal, Pratibha Tripathi,” Model Order Reduction By Mixed Mathematical Methods”, Int. J. of Computational Engineering Research,2013,vol. 03,issue 5,pp 90-93.
[10] T.N. Lucas,” Factor division: A useful algorithm in model reduction”2761D, 22nd August 1982.