• DocumentCode
    2002098
  • Title

    Current regulated pulse width modulation controller impact on low speed performances of industrial encoderless adjustable speed drives under sliding mode variable structures

  • Author

    Lee, Kevin ; Yao, Wenxi ; Lu, Wenbin ; Lu, Zhengyu

  • Author_Institution
    Eaton Corp., Milwaukee, WI, USA
  • fYear
    2012
  • fDate
    15-20 Sept. 2012
  • Firstpage
    2639
  • Lastpage
    2645
  • Abstract
    Although adjustable-speed drives (ASDs) with induction machines (IMs) have already evolved as a mature technology, accurate encoderless operation at very low speed range remains to be problematic for all existing control methods, which include nonlinearity compensation, model-reference-adaptive-system (MRAS), various types of observers, high frequency injection leveraging saliency effects, artificial intelligence (AI) or neural network techniques. These encoderless solutions are integrated into either direct torque control (DTC), or stator current regulated pulse-width-modulated (CRPWM) controllers. The DTC solution can have better dynamic responses, while the CRPWM regulator provides superior steady state performances. In the category of observer formulations without signal injection, one promising dual frame sliding mode observer (DFSMO) can achieve a published performance of below 6 revolutions per minute (rpm) (0.2Hz) at full load under a DTC scheme. DFSMO does not need the rotor position or rotor flux angle, thus it increases the estimation accuracy and is tolerable to IM parameter variations and disturbances. Even though DTC schemes have been researched more in recent years, the rotor flux orientated vector control (RFOVC) architecture still dominates industrial applications. In this paper, instead of DTC, a DFSMO is developed under the RFOVC architecture which cannot be found in published literatures to demonstrate its transient and steady-state low speed performances at both motoring and regenerating mode. Analytical, simulation studies are presented and verified through a 3hp (2.2kW), 380V, 50Hz IM ASD experimental system.
  • Keywords
    induction motor drives; machine control; stators; torque control; variable structure systems; artificial intelligence; current regulated pulse width modulation controller; direct torque control; induction machines; industrial encoderless adjustable speed drives; low speed performances; model-reference-adaptive-system; neural network techniques; nonlinearity compensation; sliding mode variable structures; Mathematical model; Observers; Rotors; Stability analysis; Stators; Variable speed drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
  • Conference_Location
    Raleigh, NC
  • Print_ISBN
    978-1-4673-0802-1
  • Electronic_ISBN
    978-1-4673-0801-4
  • Type

    conf

  • DOI
    10.1109/ECCE.2012.6342539
  • Filename
    6342539