This example shows how to upsample a system using both the d2d and upsample commands and compares 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 sampling time of 0.3 s.
G = tf([1,0.4],[1,-0.7],0.3);
Resample the system at 0.1 s using d2d.
G_d2d = d2d(h1,0.1)
G_d2d = z - 0.4769 ---------- z - 0.8879 Sample time: 0.1 seconds Discrete-time transfer function.
By default, d2d uses the zero-order-hold (ZOH) method to resample the system. The resampled system has the same order as G.
Resample the system again at 0.1 s, using upsample.
G_up = upsample(h1,3)
G_up = z^3 + 0.4 --------- z^3 - 0.7
The second input, 3, tells upsample to resample G at a sampling time three times faster than the sampling time of G. This input to upsample must be an integer.
G_up has three times as many poles and zeroes as G.
Compare the step responses of the original model G with the resampled models G_d2d and G_up.
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.
Using 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 sampling time is an integer multiple of the new sampling time.