Title: Reduced order modelling of linear multivariable systems using particle swarm optimisation technique
Authors: Girish Parmar, Shaktidev Mukherjee, Rajendra Prasad
Addresses: Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Uttarakhand 247 667, India. ' Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Uttarakhand 247 667, India. ' Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Uttarakhand 247 667, India
Abstract: In this paper, an algorithm for order reduction of linear multivariable systems is proposed using the combined advantages of the dominant pole retention method and the error minimisation by Particle Swarm Optimisation (PSO) technique. The denominator of the reduced order transfer function matrix is obtained by retaining the dominant poles of the original system while the numerator terms of the lower order transfer matrix are determined by minimising the Integral Square Error (ISE) in between the transient responses of original and reduced order models using PSO technique. The proposed algorithm guarantees stability of the reduced order transfer function matrix if the original High Order System (HOS) is stable and is having superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The proposed algorithm has been applied successfully to the transfer function matrix of a 10th order two-input two-output linear time invariant model of a practical power system. The performance of the algorithm is tested by comparing the relevant computer simulation results.
Keywords: dominant pole retention; order reduction; particle swarm optimisation; PSO; power systems; reduced order modelling; linear multivariable systems; simulation.
International Journal of Innovative Computing and Applications, 2007 Vol.1 No.2, pp.128 - 137
Published online: 22 Jan 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article