On-Line Identification of Process Model Based on Swarm Intelligence Technology

Abstract:

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On-line identification problem of process model was discussed in this paper, which use warm intelligent technology. An on-line identification method based on HPSO-Rosenbrock parameter estimation algorithm is proposed to solve the problem that traditional identification methods cannot be used in continuous-time systems on closed-loop step response conditions. This identification method is a combined method of a modified PSO and Rosenbrock which can make full use of global search ability of PSO and local search ability of Rosenbrock. Identification results of HPSO-Rosenbrock algorithm were made and compared with the other identification methods. The simulation and compare results show that the on-line identification method proposed in this paper is an approximate unbiased and effective identification method. This method can be successfully applied to closed-loop identification under secious noise and big dead-time object which provides a new idea for system optimization and advanced control.

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Edited by:

Li Yuan

Pages:

3216-3219

Citation:

L. T. Cao et al., "On-Line Identification of Process Model Based on Swarm Intelligence Technology", Advanced Materials Research, Vols. 403-408, pp. 3216-3219, 2012

Online since:

November 2011

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$38.00

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