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