Location of Repository

The design of periodic excitations for dynamic system\ud identification

By Anthony Sean McCormack

Abstract

System identification techniques are developed for modelling linear and nonlinear\ud systems. The main results of the work are concerned with the design and utilisation\ud of periodic perturbation signals in general areas of time- and frequency-domain system\ud identification. A design strategy is given for a new class of perturbation signals,\ud together with examples of their use in system identification applications. Signal processing\ud procedures are developed for the practical treatment of drift disturbances\ud and transient effects, and also for the detection of nonlinear contributions to the\ud measurement data. The techniques rely completely on the periodicity of the excitation,\ud and so the advantageous properties of periodic input signals are considered\ud in detail. The use of periodic excitations in discrete- and continuous-time nonlinear\ud system identification is also reported, with the identification methods illustrating\ud the worth of frequency-domain measurements in this area. An automatic tuning\ud procedure for PID controllers is also developed, which illustrates an application of\ud system identification techniques to control problems

Topics: QA, TK
OAI identifier: oai:wrap.warwick.ac.uk:3671

Suggested articles

Preview

Citations

  1. (1994). A frequency domain criterion for MIMO model order/structure selection,
  2. (1995). A method for the auto-calibration of PID controllers, doi
  3. (1980). A method of nonlinear analysis in the frequency domain, doi
  4. (1993). Automatic tuning of optimum PID controllers, doi
  5. (1992). Identification of Linear Systems from Time- or Frequency Domain Measurements,
  6. (1993). Identification of Multivariable Industrial Processes: for Simulation, Diagnosis and Control, doi
  7. (1981). Non-parametric methods of system identification, doi
  8. (1943). Optimum settings for automatic controllers, doi
  9. (1981). Parameter estimation for continuous-time models -a survey, doi
  10. (1986). Transfer function synthesis using frequency response data, doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.