Parameter Identification for Nonlinear Electro-Hydraulic Servo System Based on Multi-Particle Swarm Optimization

Abstract:

In the electro-hydraulic servo system for steam turbine, there are many components with nonlinear behaviors. It is difficult to identify these nonlinear parameters with regular identification methods. Particle swarm optimization (PSO) is a relatively new optimization algorithm which has been applied to a variety of problems. However, it may easily get trapped in local optima when solving complex problems. In this study, a nonlinear model including dead zone is established first and a multi-particle swarm optimization (MPSO) method based on double-layer evolution is studied in detail. Then the parameter identification with this optimization method for the electro-hydraulic servo system of steam turbine are discussed in the paper. Moreover, numerical simulation demonstrates that the accuracy of the proposed parameter identification algorithm can be guaranteed.

• Periodical: Applied Mechanics and Materials (Volumes 325-326)
• Pages: 1245-1248
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.325-326.1245
• Online since: June 2013
• Authors: Hong Quan Ming, Lei Luo, Zheng Ming Wang, Ying Jiang
• Keywords: Electro-Hydraulic Servo System, MPSO, Nonlinear, Parameter Identification

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