Abstract :
This paper mainly proposes an efficient modified particle swarm optimization MPSO method, to identify a slider-crank mechanism driven by a field-oriented PM synchronous motor, dynamic formulations of a slider-crank mechanism have been successfully formulated with only one independent variable. The parameters of many industrial machines are difficult to obtain if these machines cannot be taken apart. In system identification, we adopt the MPSO method to find parameters of the slider-crank mechanism. This new algorithm is added with "distance"Â term in the traditional PSO's fitness function to avoid converging to a local optimum. It is found that the MPSO method can obtain optimal high-quality solution, high calculation efficiency, and its feasibility and effectiveness. Finally, the comparisons of numerical simulations and experimental results prove that the MPSO identification method for the slider-crank mechanism is feasible.
By Chin Wen Chuang | Kuan Yu Chen | Yi Hua Su "Identifying the Slider-Crank Mechanism System by the MPSO Method"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018,
URL: http://www.ijtsrd.com/papers/ijtsrd18413.pdf
Paper URL: http://www.ijtsrd.com/engineering/electrical-engineering/18413/identifying-the-slider-crank-mechanism-system-by-the-mpso-method/chin-wen-chuang
Keyword :
Slider-crank mechanism, Modified particle searm optimization