Many control design algorithms cannot handle time delays directly. For example, techniques such as root locus, LQG, and pole placement do not work properly if time delays are present. A common technique is to replace delays with all-pass filters that approximate the delays.
To approximate time delays in continuous-time LTI models, use
pade command to compute
a Padé approximation. The Padé approximation
is valid only at low frequencies, and provides better frequency-domain
approximation than time-domain approximation. It is therefore important
to compare the true and approximate responses to choose the right
approximation order and check the approximation validity.
Time-Delay Approximation in Discrete-Time Models
For discrete-time models, use
convert a time delay to factors of 1/z where the
time delay is an integer multiple of the sample time.
thiran command to approximate a
time delay that is a fractional multiple of the sample time as a Thiran
For a time delay of
tau and a sample time
Ts, the syntax
a discrete-time transfer function that is the product of two terms:
A term representing the integer portion of the time delay as a pure line delay, (1/z)N, where
N = ceil(tau/Ts).
A term approximating the fractional portion of the time delay (
tau - NTs) as a Thiran all-pass filter.
Discretizing a Padé approximation does not guarantee good
phase matching between the continuous-time delay and its discrete
thiran to generate a discrete-time
approximation of a continuous-time delay can yield much better phase
matching. For example, the following figure shows the phase delay
of a 10.2-second time delay discretized with a sample time of 1 s,
approximated in three ways:
a first-order Padé approximation, discretized using the
an 11th-order Padé approximation, discretized using the
an 11th-order Thiran filter
The Thiran filter yields the closest approximation of the 10.2-second delay.
page for more information about Thiran filters.