• DocumentCode
    2269981
  • Title

    Simulation Control of Concrete Pump Truck Boom Based on PSO and Gravity Compensation

  • Author

    Wang, Tie ; Wang, Gannan ; Liu, Kun ; Zhou, Shuwen

  • Author_Institution
    Sch. of Vehicle, Shenyang Ligong Univ., Shenyang
  • Volume
    3
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    494
  • Lastpage
    497
  • Abstract
    In the actual operating work of the concrete pump truck, there are many ill factors impact on the control quality that are environment interference, drive saturation, measurement error, rounding error and sampling delay. To overcome disadvantage, prove mathematical model accurate and identify parameters full, the group control was used; PSO algorithm was used to calculate the final value of every joint point, because the entire search is the process that updates the current optimal solution; all the particles are likely to faster convergence on the optimal solution; The PD control based on the gravity compensation for concrete pump truck boom was used, the advantage of control law are simple and easy to implement and can guarantee a good dynamic and static quality; In order to improve the joint operation real-time and accuracy, using cubic polynomial interpolation method described trajectory; Through the simulation examples analysis, the conclusion is that the method of combination PSO and gravity compensation is suitable for concrete pump truck boom control.
  • Keywords
    PD control; construction equipment; cranes; gravity; interpolation; particle swarm optimisation; PD control; concrete pump truck boom control; control quality; cubic polynomial interpolation; drive saturation; gravity compensation; group control; measurement error; particle swarm optimisation; rounding error; sampling delay; Concrete; Delay; Gravity; Interference; Mathematical model; Measurement errors; Optimal control; PD control; Roundoff errors; Sampling methods; Concrete Pump Truck Boom; PD control; PSO; polynomial interpolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.539
  • Filename
    4740046