Order Reduction using Modified Pole Clustering and Factor Division Method
Jasvir Singh Rana1, Rajendra Prasad2, Raghuvir Singh3
1Jasvir Singh Rana, Department of Electronics, Shobhit University, Gangoh, Saharanpur (U.P), India.
2Prof. Rajendra Prasad, Department of Electrical Engineering, IIT, Roorkee India.
3Prof. Raghuvir Singh, Department of Electronics Engineering, Stallion College for Engineering, Saharanpur (U.P), India.
Manuscript received on 6 April 2014 | Revised Manuscript received on 17 April 2014 | Manuscript Published on 30 April 2014 | PP: 133-136 | Volume-3 Issue-11, April 2014 | Retrieval Number: K16240431114/14©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The authors proposed a mixed technique for reducing the order of the high order dynamic systems. In this technique, the denominator polynomial of the reduced order model is determined by using the modified pole clustering while the coefficients of the numerator are obtained by Factor Division Method. This technique is simple and gives stable reduced models for the stable high-order system. C.B. Vishwakarma, modified pole clustering technique is suggested, which generates the more effective cluster .If a cluster contains r number of poles, then IDM criterion is repeated r times with the most dominant pole available in that cluster. The Factor division algorithm has been successfully used to find reduced order approximants of high order systems. The proposed method is described by solving a numerical example taken from the literature.
Keywords: Modified Pole Clustering, Order Reduction, Factor Division, Transfer Function.
Scope of the Article: Clustering