• DocumentCode
    539638
  • Title

    Deposit Dimension Control with Using Single Neuron Self-learning PSD Controller During Spray Forming

  • Author

    Ying-dong, Qu ; Cheng-song, Cui ; San-ben, Chen ; Guang-hui, Ma

  • Author_Institution
    Sch. of Mater. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
  • Volume
    1
  • fYear
    2011
  • fDate
    6-7 Jan. 2011
  • Firstpage
    849
  • Lastpage
    851
  • Abstract
    A single neuron self-learning PSD controller is used to perform deposit dimension control during spray forming process. Simulation results show that control performance of PSD controller is satisfied, override and steady state error are zero at three predetermined target value, and corresponding response time is short too. PSD closed-loop control experimental results show that the average deposit thickness is 5.32 mm in steady period, average error is 0.18 mm between actual size and target value 5.5 mm, maximum error is 0.28 mm, and RMS(mean square root) of error is 0.23 mm. Both simulation and experiment show that PSD controller is suitable for deposit dimension control owing to its self-learning and intelligent characteristic.
  • Keywords
    closed loop systems; forming processes; neurocontrollers; spray coating techniques; spraying; three-term control; unsupervised learning; RMS; closed loop control; deposit dimension control; root mean square; single neuron self learning PSD controller; spray forming process; steady state error; Materials; Mathematical model; Neurons; Process control; Simulation; Steady-state; Time factors; Deposit dimension; Intelligent control; PSD controller; Spray forming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
  • Conference_Location
    Shangshai
  • Print_ISBN
    978-1-4244-9010-3
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2011.212
  • Filename
    5720915