• DocumentCode
    822725
  • Title

    Modelling linear systems for pulsewidth-modulated control

  • Author

    Friedland, Bernard

  • Author_Institution
    The Singer Company, Little Falls, NJ, USA
  • Volume
    21
  • Issue
    5
  • fYear
    1976
  • fDate
    10/1/1976 12:00:00 AM
  • Firstpage
    739
  • Lastpage
    746
  • Abstract
    An approximate linear model is developed for a linear process in which the control signal can assume only two values, U_{\\max } and U_{\\min} , and which is controlled by varying the fraction δnof a sampling cycle of duration T that the control is at U_{\\max } . The dynamic equations are of the form w_{n+1} = \\Phi (T)w_{n} + \\bar{\\Gamma }(T)r_{n} where wnis related to the average state xnover one cycle, and r_{n} = \\delta _{n} - \\delta _{s} where δsis the steady-state value of δnrequired to maintain a desired average state xd. The system error e(nT) at sampling intervals is related to these variables by an equation of the form e(nT) = M_{1}w_{n} + M_{2}\\delta _{s} + M_{3}b , where b is a bias vector. These relations may be used to design a linear control system by well-known techniques for discrete-time systems. The method is illustrated by the design of a third-order process which could represent a temperature control problem. Simulation results are given for a design that includes a Kalman filter for estimating the inaccessible states.
  • Keywords
    Linear systems, time-invariant continuous-time; PWM (pulse-width modulation); Pulse width modulations; Control system synthesis; Control systems; Equations; Linear approximation; Linear systems; Sampling methods; Signal processing; Signal sampling; Steady-state; Vectors;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1976.1101367
  • Filename
    1101367