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D. K. Sambariya and H. Manohar, “Model order reduction by differentiation equation method using with Routh array Method,” in 10th International Conference on Intelligent Systems and Control (ISCO 2016), Karpagam College of Engineering, Coimbatore, Tamilnadu, India, 2016, pp. 341-346.

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Article

Model Order Reduction Using Routh Approximation and Cuckoo Search Algorithm

1Department of Electrical Engineering, Rajasthan Technical University, Kota, India


Journal of Automation and Control. 2016, Vol. 4 No. 1, 1-9
DOI: 10.12691/automation-4-1-1
Copyright © 2016 Science and Education Publishing

Cite this paper:
D. K. Sambariya, Omveer Sharma. Model Order Reduction Using Routh Approximation and Cuckoo Search Algorithm. Journal of Automation and Control. 2016; 4(1):1-9. doi: 10.12691/automation-4-1-1.

Correspondence to: D.  K. Sambariya, Department of Electrical Engineering, Rajasthan Technical University, Kota, India. Email: dsambariya_2003@gmail.com

Abstract

In this paper, a large order system is reduced by using the Cuckoo Search Algorithm (CSA) to a reduced order approximate model. The denominator coefficients of a desired reduced order system are determined by Routh approximation method while the numerator coefficients are determined using CSA based on integral square error minimization as an objective function pertaining to a unit step as input. The efficacy of the proposed method is tested with three SISO test systems to get a corresponding reduced order system and extended to a MIMO system. The results are satisfactory in terms of minimum error with the proposed method as compared to Routh Pade approximation and weighted sum multi-objective harmony search based reduced models.

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