This example shows how to upsample a system using both the
upsample commands and compare the results of both to the original system.
Upsampling a system can be useful, for example, when you need to implement a digital controller at a faster rate than you originally designed it for.
Create the discrete-time system
with a sample time of 0.3 s.
G = tf([1,0.4],[1,-0.7],0.3);
Resample the system at 0.1 s using
G_d2d = d2d(G,0.1)
G_d2d = z - 0.4769 ---------- z - 0.8879 Sample time: 0.1 seconds Discrete-time transfer function.
d2d uses the zero-order-hold (ZOH) method to resample the system. The resampled system has the same order as
Resample the system again at 0.1 s, using
G_up = upsample(G,3)
G_up = z^3 + 0.4 --------- z^3 - 0.7 Sample time: 0.1 seconds Discrete-time transfer function.
The second input,
upsample to resample
G at a sample time three times faster than the sample time of
G. This input to
upsample must be an integer.
G_up has three times as many poles and zeroes as
Compare the step responses of the original model
G with the resampled models
The step response of the upsampled model
G_up matches exactly the step response of the original model
G. The response of the resampled model
G_d2d matches only at every third sample.
Compare the frequency response of the original model with the resampled models.
In the frequency domain as well, the model
G_up created with the
upsample command matches the original model exactly up to the Nyquist frequency of the original model.
upsample provides a better match than
d2d in both the time and frequency domains. However,
upsample increases the model order, which can be undesirable. Additionally,
upsample is only available where the original sample time is an integer multiple of the new sample time.