Nyquist Stability Analysis for a Closed-Loop System with (G(s)H(s)=\dfrac{10(s+0.5)}{s^2(s+2)(s+10)})

Nyquist Stability Analysis for a Closed-Loop System with (G(s)H(s)=\dfrac{10(s+0.5)}{s^2(s+2)(s+10)})

Verified Sources
Nov 4, 2026

We consider the (unity-feedback) closed-loop characteristic condition for the open-loop product L(s)=G(s)H(s)L(s)=G(s)H(s): [ 1+L(s)=0 \quad \Longleftrightarrow \quad L(s)=-1. ] Nyquist stability criterion states that if PP is the number of open-loop poles in the right-half plane (RHP) and NN is the net number of clockwise encirclements of the critical point −1+j0-1+j0, then the closed-loop RHP pole count is [ Z = N + P, ] where ZZ is the number of closed-loop poles in the RHP (for the standard closed-loop characteristic 1+L(s)=01+L(s)=0).

For our system, [ L(s)=\frac{10(s+0.5)}{s^2(s+2)(s+10)}. ] The open-loop poles are at s=0s=0 (double), s=−2s=-2, and s=−10s=-10; there are no poles in the open RHP, so [ P=0. ] Therefore, closed-loop stability reduces to showing that Z=0Z=0, i.e., that the Nyquist plot makes no net encirclements of −1+j0-1+j0: [ Z= N + 0 = N \quad \Rightarrow \quad \text{stable iff } N=0. ]

Key terms used: Nyquist stability criterion; critical point; open-loop RHP poles; encirclement number.

Nyquist Stability Criterion (Encirclements and Stability) — Educational Walkthrough

Nyquist criterion procedure for the given transfer function

  1. 1
    Step 1

    Factor L(s)L(s) denominator: s2(s+2)(s+10)s^2(s+2)(s+10). All poles are at s=0s=0 (double), s=−2s=-2, s=−10s=-10. There are no poles with ℜ(s)>0\Re(s)>0, so P=0P=0. Note: s=0s=0 lies on the imaginary axis; Nyquist analysis assumes a standard indentation/limit handling for axis poles.

  2. 2
    Step 2

    Closed-loop poles occur where 1+L(s)=01+L(s)=0, i.e., where L(s)=−1L(s)=-1. The Nyquist plot of L(jω)L(j\omega) tracks the complex values approached as frequency varies.

  3. 3
    Step 3

    Substitute s=jωs=j\omega:

    L(jω)=10(jω+0.5)(jω)2(jω+2)(jω+10).L(j\omega)=\frac{10(j\omega+0.5)}{(j\omega)^2(j\omega+2)(j\omega+10)}.

    Since (jω)2=−ω2(j\omega)^2=-\omega^2, the denominator contributes a sign flip and frequency-dependent phase through (jω+2)(jω+10)(j\omega+2)(j\omega+10).

  4. 4
    Step 4

    A net encirclement requires the locus to wrap around the -1 point. Practical checking starts with the condition ℑ{L(jω)}=0\Im\{L(j\omega)\}=0 to find real-axis crossings, then test whether the crossing occurs at values less than or greater than -1, and track high-frequency/low-frequency behavior.

  5. 5
    Step 5

    With P=0P=0, closed-loop stability requires N=0N=0. Determine NN from the net clockwise encirclement count around -1. If the plot does not encircle -1 (and handles axis poles appropriately), then Z=0Z=0 and the closed-loop is stable.

1) Characteristic equation (for interpretation)

The Nyquist condition 1+L(s)=01+L(s)=0 corresponds to the closed-loop characteristic polynomial: [ 1+\frac{10(s+0.5)}{s^2(s+2)(s+10)}=0 ] [ \Rightarrow\ s^2(s+2)(s+10)+10(s+0.5)=0. ] Expanding: [ s^2(s+2)(s+10)=s^2(s^2+12s+20)=s^4+12s^3+20s^2 ] so the characteristic polynomial is [ p(s)=s^4+12s^3+20s^2+10s+5. ] This polynomial is exactly the set of ss values where the Nyquist plot would imply L(s)=−1L(s)=-1 (i.e., where the closed-loop poles lie).

Key terms used: characteristic equation; Nyquist mapping; [imaginary-axis poles]{def="Poles on jomegaj\\omega that require indentation in Nyquist"}.

2) Nyquist encirclement logic for stability (with P=0P=0)

Because P=0P=0, the Nyquist encirclement count NN directly equals the number of RHP closed-loop poles: [ Z=N. ] So we need to determine whether the locus of L(jω)L(j\omega) encircles −1-1.

For this particular rational function:

  • The phase contributed by the denominator s2(s+2)(s+10)s^2(s+2)(s+10) is dominated by the s2s^2 term (two poles at the origin) and by stable real poles at −2-2 and −10-10.
  • The numerator has one stable zero at s=−0.5s=-0.5.
  • The magnitude of L(jω)L(j\omega) decays for large ω\omega because the denominator has four more powers of ss than the numerator (relative degree 3? actually: numerator ∼s1\sim s^1, denominator ∼s4\sim s^4 so ∣L(jω)∣∼1/ω3|L(j\omega)|\sim 1/\omega^3 as ω→∞\omega\to\infty). Thus, [ L(j\omega)\to 0 \quad \text{as } \omega\to\infty. ]
  • Near ω→0\omega\to 0, the s2s^2 in the denominator makes the magnitude blow up like 1/ω21/\omega^2 (since the numerator approaches 10(0.5)=510(0.5)=5 while denominator ∼s2∼−ω2\sim s^2\sim -\omega^2), implying the Nyquist curve starts far away from the origin and is constrained by the sign/phase of the small-ω\omega behavior.

Now, because L(jω)→0L(j\omega)\to 0 at high frequency, the Nyquist plot at infinity ends at the origin. The critical question is whether, during its traversal from large values at low frequency to near-zero at high frequency, the locus crosses and wraps around −1-1.

For systems with no RHP open-loop poles (P=0P=0), a common outcome is that the closed loop remains stable if the Nyquist locus does not encircle -1. The closed-loop characteristic polynomial p(s)=s4+12s3+20s2+10s+5p(s)=s^4+12s^3+20s^2+10s+5 can be used as an equivalent check: if p(s)p(s) has no RHP roots, then Z=0Z=0, hence N=0N=0.

Key terms used: encirclement test.

type="tip" title="How to connect Nyquist results to a polynomial safely" content="Use 1+L(s)=01+L(s)=0 to form the characteristic polynomial p(s)p(s). If you conclude Z=0Z=0 from Nyquist (i.e., N=0N=0 since P=0P=0), then p(s)p(s) must have no RHP roots."

type="warning" title="Poles on the imaginary axis (here at s=0s=0) need careful handling" content="Nyquist analysis for L(s)L(s) with imaginary-axis poles requires a standard indentation/limit procedure. In many control courses, this is handled by taking the limiting Nyquist plot or using a small semicircular detour around the axis pole."

3) Direct conclusion about closed-loop stability from the equivalent characteristic polynomial

From [ p(s)=s^4+12s^3+20s^2+10s+5, ] the stability of the closed-loop (all roots in LHP) implies Z=0Z=0. Under the Nyquist criterion framework with P=0P=0, this corresponds to a net encirclement count [ N=0, ] so the Nyquist plot does not make a net clockwise encirclement of −1+j0-1+j0.

Therefore, the closed-loop system is asymptotically stable.

Key terms used: asymptotic stability; Routh-Hurwitz.

Stability determination workflow (Nyquist view)

Open-loop poles

1) Compute $P$

Count poles of L(s)L(s) in the RHP; here P=0P=0."

Critical equation

2) Apply mapping

Closed-loop poles satisfy 1+L(s)=01+L(s)=0 ⇔ L(s)=−1L(s)=-1."

Encirclement count

3) Inspect Nyquist contour

Determine net encirclements NN around −1+j0-1+j0 (with axis-pole indentation)."

Compute $Z$

4) Decide stability

Use Z=N+PZ=N+P; with P=0P=0, stable iff N=0N=0."

Closed-loop stability indicators via Nyquist (conceptual counts)

Since P=0P=0, stability depends solely on encirclements NN around −1-1.

Nuances and edge cases

Knowledge Check

Question 1 of 4
Q1Single choice

For unity feedback with open-loop transfer L(s)L(s), the closed-loop poles satisfy which condition?