• DocumentCode
    728423
  • Title

    Multivariable predictive control of laser-aided powder deposition processes

  • Author

    Xiaoqing Cao ; Ayalew, Beshah

  • Author_Institution
    Appl. Dynamics & Control Group, Clemson Univ., Greenville, SC, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    3625
  • Lastpage
    3630
  • Abstract
    This paper derives and illustrates a multivariable predictive control scheme for laser-aided powder deposition (LAPD) processes utilizing a mobile co-axial laser and powder nozzle. First, a control-oriented multi-input-multi-output (MIMO) process model is adopted that captures the coupled nonlinear dynamics of deposited layer height and average melting pool temperature, with laser power and scanning speed as process inputs. Then, a nonlinear model predictive control (NMPC) scheme is devised in a transformed spatial coordinate system for simultaneous online control of deposition height and melting pool temperature. The conditions that ensure the closed-loop stability of the proposed control scheme are also provided. The effectiveness of the approach as well as the clear trade-offs in the multivariable control is illustrated via a case study on a single layer deposition process.
  • Keywords
    MIMO systems; closed loop systems; melting point; multivariable control systems; nonlinear control systems; powder technology; predictive control; LAPD processes; MIMO process model; NMPC scheme; closed-loop stability; control-oriented multi-input-multi-output process model; coupled nonlinear dynamics; laser-aided powder deposition processes; multivariable predictive control scheme; nonlinear model predictive control scheme; single layer deposition process; Ash; Automotive engineering; Laser stability; Logic gates; MIMO; Process control; Steady-state; laser-aided powder deposition; multivariable control; nonlinear MPC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7171893
  • Filename
    7171893