Model order reduction of SISO and MIMO systems using particle swarm optimization
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 2
Abstract
In this paper authors proposed model order reduction technique for a linear time invariant higher order using Particle swarm optimization (PSO) technique. PSO technique is a relatively recent heuristic search method whose working is inspired by the swarming or collaborative behavior of biological populations. PSO is employed for determining both the numerator and denominator coefficients of reduced order system by minimizing the Integral Square Error (ISE) between the transient responses of the original and reduced order models, pertaining to unit step input. The reduction procedure is simple, efficient and computer oriented. The proposed algorithm has been extended for the reduction of linear multivariable system also. The proposed method guarantees stability of the reduced order model, if the original high order system is stable. The algorithm is illustrated with the help of numerical examples to highlight the advantages of the approach and the results are compared with the other existing techniques by using the MATLAB/SIMULINK.
Authors and Affiliations
A. Santhosh Kumar, B. Dasu
Keywords
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- EP ID EP19582
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