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Real-time parameter identification for highly coupled nonlinear systems using Adaptive Particle Swarm Optimization

Ranjbar Sahraei, B ; Sharif University of Technology

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  1. Type of Document: Article
  2. Abstract:
  3. The In this paper, an Adaptive Particle Swarm Optimization (APSO) method is proposed for parameter identification of highly coupled electromechanical systems. Using some modifications on the APSO, better computational efficiency is achieved. In this way, the speed of real-time identification procedure is improved. In addition, to show the effectiveness of the proposed method, it is implemented on a real ball on plate setup and its dynamic model is achieved. Both the simulation and the experimental results show that parameter identification of the proposed algorithm is significantly improved when compared with other existing identification methods based on the traditional PSO and Genetic Algorithm (GA)
  4. Keywords:
  5. Adaptive particle swarm optimizations ; Coupled nonlinear systems ; Electromechanical systems ; Identification method ; Parameter identification ; Real-time identification ; Time parameter ; Computational efficiency ; Electromechanical devices ; Genetic algorithms ; Particle swarm optimization (PSO) ; Real time systems ; Parameter estimation
  6. Source: Mechanika ; Volume 86, Issue 6 , 2010 , Pages 43-49 ; 13921207 (ISSN)
  7. URL: http://www.mechanika.ktu.lt/index.php/Mech/article/view/15975