Journal of Northeastern University(Natural Science) ›› 2023, Vol. 44 ›› Issue (6): 840-848.DOI: 10.12068/j.issn.1005-3026.2023.06.011

• Mechanical Engineering • Previous Articles     Next Articles

Global Power Matching of Concrete Pump Truck Based on Advanced Particle Swarm Optimization Algorithm

RAO Hong-yan, WANG Shao-jie, HOU Liang, SU De-ying   

  1. Department of Mechanical & Electrical Engineering, Xiamen University, Xiamen 361101, China.
  • Published:2023-06-20
  • Contact: WANG Shao-jie
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Abstract: The optimization algorithm of concrete pump truck global power matching technology has poor solution quality, this paper proposed a condition adaptive global power matching strategy based on advanced particle swarm optimization. Firstly, based on the characteristic data of engine and hydraulic pump, a pumping system model on MWorks that integrated five major modules of hydraulic, mechanical, control, load and power is builted; Then, the advanced particle swarm optimization algorithm is used for global matching optimization and output the economic matching value of parameters under different operation requirements; Finally, a pumping system simulation platform is established to analyze the energy-saving effect of different power matching strategies under typical conditions. The results show that compared with the traditional strategy, strategy proposed saves fuel by 5.86%,5.24% and 1.74% under light, medium and heavy operation, respectively.

Key words: pumping system; power matching; advanced particle swarm optimization(APSO) algorithm; energy saving optimization; MWorks simulation

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