• DocumentCode
    1295167
  • Title

    Analytical and experimental approaches for the design of low-distortion Wien bridge oscillators

  • Author

    Kaplan, Ben-zion ; Saaroni, Rami ; Suckert, B.

  • Author_Institution
    Dept. of Electrical Engng., Ben Gurion Univ. of the Negev, Beer-Sheva, Israel
  • Issue
    2
  • fYear
    1981
  • fDate
    6/1/1981 12:00:00 AM
  • Firstpage
    147
  • Lastpage
    151
  • Abstract
    Although Wien bridge oscillators are commonly used as fixed-frequency generators of low distortion there has apparently not been suggested a simple systematic method based on nonlinear theory for reducing their distortions. This paper attempts at filling the gap. This is achieved by suggesting a network which is on the one hand a Wien bridge oscillator and it can be also regarded as a Van der Pol oscillator. Van der Pol oscillators, however, are well known and as a result the task of systematically reducing the distortion becomes a straightforward procedure which is demonstrated by a series of experiments. Additional improvements (in the economy of design and with regard to a further reduction of distortions) are attained by slightly modifying the basic Van der Pol type system. The small level of distortion achieved in the present work systems is explained as partly due to the deliberate generation of harmonic components which are then subtracted from the output signal to remove the distortion components which are added by the amplifier circuit.
  • Keywords
    relaxation oscillators; Van der Pol oscillators; design; fixed-frequency generators; harmonic components; low-distortion Wien bridge oscillators; nonlinear theory; relaxation oscillators; Bridge circuits; Density estimation robust algorithm; Distortion measurement; Equations; Harmonic analysis; Low pass filters; Oscillators;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.1981.6312464
  • Filename
    6312464