• DocumentCode
    3205032
  • Title

    Newton iterative method for the system modeling based on the step responses signal to the multi-stage operational amplifier circuit

  • Author

    Ling Xu

  • Author_Institution
    Sch. of Internet of Things Technol., Wuxi Inst. of Commerce, Wuxi, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5596
  • Lastpage
    5601
  • Abstract
    This paper presents a system modeling method for an multi-stage operational amplifier circuit based on the step response experiment. By taking an step voltage signal as the input, the measure data are collected for estimating the system parameters. By defining and minimizing an output error criterion function, a Newton iterative estimation algorithm is derived. In order to show the accuracy of the estimated circuit model, we use a proportional integral controller and construct a closed-loop operational amplifier circuit in terms of the estimated circuit model. Moreover, we take a step experiment to test the tracking performance of the operational amplifier circuit. The simulation results indicate that the proposed method can generate the parameter estimates of the multi-stage operational amplifier circuit system.
  • Keywords
    Newton method; PI control; integrated circuit modelling; operational amplifiers; Newton iterative estimation; closed-loop operational amplifier circuit; error criterion function; multistage operational amplifier circuit; proportional integral controller; step responses signal; step voltage signal; system modeling method; Estimation; Integrated circuit modeling; Iterative methods; Laplace equations; Mathematical model; Noise; Transfer functions; Newton iterative method; Operational amplifier circuit; Parameter estimation; Step response; System modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161796
  • Filename
    7161796