Poles and zeros
Two important types of objects defined from a transfer function \(H\) can be used to characterize a system’s behavior: poles and zeros.
Definition
Let a system have transfer function \(H\). Its poles are values of \(s\) for which \[\begin{aligned} |H(s)| \rightarrow \infty. \end{aligned}\]
A transfer function written as a ratio has poles wherever the denominator is zero; that is, \(s\) for which1 \[\begin{aligned} \mathrm{den}\, H(s) = 0.\end{aligned}\]
Definition
Let a system have transfer function \(H\). Its zeros are values of \(s\) for which \[\begin{aligned} |H(s)| \rightarrow 0. \end{aligned}\]
A transfer function written as a ratio has zeros wherever the numerator is zero; that is, \(s\) for which2 \[\begin{aligned} \mathrm{num}\, H(s) = 0.\end{aligned}\]
Given a transfer function \(H\) with \(n\) poles \(p_i\) and \(\nu\) zeros \(z_j\), we can write, for \(K\in\mathbb{R}\), \[\begin{aligned} H(s) &= K \frac{ \displaystyle\prod_{j=1}^{\nu} s-z_j }{ \displaystyle\prod_{i=1}^{n} s-p_i }.\end{aligned}\]
Poles and zeros can define a single-input, single-output (SISO) system’s dynamic model, within a constant.
Recall that, even for multiple-input, multiple-output (MIMO) state-space models, the denominator of every transfer function is the corresponding system’s characteristic equation—the roots of which dominate the system’s response and are equal to its eigenvalues. It is now time to observe a crucial identity.
Therefore, everything we know about a system’s eigenvalues and characteristic equation roots is true for a system’s poles. This includes that they characterize a system’s response (especially its free response) and stability.
Pole-zero plots and stability
The complex-valued poles and zeros dominate system behavior via their values and value-relationships. Often, we construct a pole-zero plot—a plot in the complex plane of a system’s poles and zeros—such as that of figure 11.1.
From our identification of poles with eigenvalues and roots of the characteristic equation, we can recognize that each pole contributes an exponential response that oscillates if it is complex. There are three stability contribution possibilities for each pole \(p_i\):
\(\Re(p_i) < 0\): a stable, decaying contribution;
\(\Re(p_i) = 0\): a marginally stable, neither decaying nor growing contribution; and
\(\Re(p_i) > 0\): an unstable, growing contribution.
This is explored graphically in figure 11.2.
Of course, we must not forget that a system’s stability is spoiled with a single unstable pole.
It can be shown that complex poles and zeros always arise as conjugate pairs. A consequence of this is that the pole-zero plot is always symmetric about the real axis.
Second-order systems
Second-order response is characterized by a damping ratio \(\zeta\) and natural frequency \(\omega_n\). These parameters have clear complex-plane “geometric” interpretations, as shown in figure 11.3. Pole locations are interpreted geometrically in accordance with their relation to rays of constant damping from the origin and circles of constant natural frequency, centered about the origin.
It is common to use this as the definition of a pole, which allows us to talk of “pole-zero cancellation.” Occasionally we will use this terminology.↩︎
It is common to use this as the definition of a zero, which allows us to talk of “pole-zero cancellation.” Occasionally we will use this terminology.↩︎
Online Resources for Section 11.2
No online resources.