Root Locus and Stability Range for G(s)H(s)=ks(s2+2s+5)G(s)H(s)=\frac{k}{s(s^2+2s+5)}

Root Locus and Stability Range for G(s)H(s)=ks(s2+2s+5)G(s)H(s)=\frac{k}{s(s^2+2s+5)}

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Nov 4, 2026

We are given an open-loop transfer function
G(s)H(s)=ks(s2+2s+5)=ks(s2+2s+5).G(s)H(s)=\frac{k}{s(s^2+2s+5)}=\frac{k}{s(s^2+2s+5)}.

The root locus is the set of closed-loop pole locations as the gain kk varies. The closed-loop poles satisfy the characteristic equation 1+G(s)H(s)=0  ⇒  1+ks(s2+2s+5)=0.1+G(s)H(s)=0 \;\Rightarrow\; 1+\frac{k}{s(s^2+2s+5)}=0.

Multiplying through by s(s2+2s+5)s(s^2+2s+5) gives the characteristic polynomial s(s2+2s+5)+k=0  ⇒  s3+2s2+5s+k=0.s(s^2+2s+5)+k=0 \;\Rightarrow\; s^3+2s^2+5s+k=0.

Key terms: Root locus Characteristic equation Routh-Hurwitz Asymptotes.

Root Locus Fundamentals (rules + sketching)

1) Open-loop poles/zeros and basic root-locus facts

Write the loop transfer as L(s)=G(s)H(s)=ks(s2+2s+5).L(s)=G(s)H(s)=\frac{k}{s(s^2+2s+5)}.

Open-loop poles come from the denominator:

  • s=0s=0
  • s2+2s+5=0⇒s=−1±j2s^2+2s+5=0 \Rightarrow s=-1\pm j2

There are no finite zeros (since the numerator is just kk).

So:

  • Open-loop poles: 0, −1±j20,\,-1\pm j2
  • Open-loop zeros: none

Number of poles is n=3n=3, number of zeros is m=0m=0, so the number of asymptotes is n−m=3.n-m=3.

The centroid (average location) of asymptotes is

=\frac{(0+(-1)+(-1))-0}{3}=\frac{-2}{3}.$$ Key root-locus quantities: - Number of asymptotes: $3$ - Centroid: $-\frac{2}{3}$

Step-by-step sketch of the root locus for $$s^3+2s^2+5s+k=0$$

  1. 1
    Step 1

    From 1+L(s)=01+L(s)=0, obtain s3+2s2+5s+k=0s^3+2s^2+5s+k=0, so the closed-loop poles are the roots of this cubic for each k≥0k\ge 0.

  2. 2
    Step 2

    At k=0k=0, the poles are exactly the open-loop poles: s=0s=0 and s=−1±j2s=-1\pm j2.

  3. 3
    Step 3

    Real-axis points on the locus occur where the number of real-axis open-loop poles to the right is odd (and there are no real-axis zeros). Here the only real open-loop pole is at s=0s=0, so the real-axis locus can only lie on (−∞,0)(-\infty,0).

  4. 4
    Step 4

    With n−m=3n-m=3, there are 3 asymptotes at angles (2q+1)180∘/(n−m)(2q+1)180^\circ/(n-m) for q=0,1,2q=0,1,2, i.e. 60∘,180∘,300∘60^\circ, 180^\circ, 300^\circ measured from the positive real axis, all intersecting at the centroid σa=−2/3\sigma_a=-2/3.

  5. 5
    Step 5

    Use k=− (s3+2s2+5s)k=-\,(s^3+2s^2+5s) from s3+2s2+5s+k=0s^3+2s^2+5s+k=0. Break points on the real axis satisfy dkds=0\frac{dk}{ds}=0 i.e. dds[−(s3+2s2+5s)]=0\frac{d}{ds}\left[-(s^3+2s^2+5s)\right]=0 so − (3s2+4s+5)=0-\,(3s^2+4s+5)=0 ⇒ 3s2+4s+5=03s^2+4s+5=0.

  6. 6
    Step 6

    The discriminant is Δ=42−4⋅3⋅5=16−60=−44<0\Delta=4^2-4\cdot 3\cdot 5=16-60=-44<0, so there are no real breakaway points; the complex-conjugate pair does not split on the real axis.

  7. 7
    Step 7

    Since there are no real-axis break points, one root moves along the real-axis segment (−∞,0)(-\infty,0) while the other two remain complex conjugates and move out along the other asymptote directions (from the −1±j2-1\pm j2 starting locations).

  8. 8
    Step 8

    Sketch: start at 00 (on real axis), and −1±j2-1\pm j2 (complex pair). The real branch stays on (−∞,0)(-\infty,0) and heads toward the 180∘180^\circ asymptote. The complex pair heads toward the 60∘60^\circ and 300∘300^\circ asymptotes emanating from centroid −2/3-2/3.

Fast way to avoid heavy locus computations

Here, the polynomial is s3+2s2+5s+k=0.s^3+2s^2+5s+k=0. Re-expressing k=−(s3+2s2+5s)k=-(s^3+2s^2+5s) turns breakaway detection into solving dkds=0\frac{dk}{ds}=0, which is just a quadratic. If the quadratic has no real roots, there are no break points on the real axis.

2) Stability range of kk using Routh-Hurwitz

For the closed-loop characteristic polynomial p(s)=s3+2s2+5s+k,p(s)=s^3+2s^2+5s+k, the Routh array for a cubic a3s3+a2s2+a1s+a0a_3 s^3+a_2 s^2+a_1 s+a_0 gives the necessary and sufficient stability conditions:

  • a3>0a_3>0
  • a2>0a_2>0
  • a1>0a_1>0
  • a2a1>a3a0a_2 a_1 > a_3 a_0

Here:

  • a3=1>0a_3=1>0
  • a2=2>0a_2=2>0
  • a1=5>0a_1=5>0
  • a0=ka_0=k

So the only nontrivial condition is a2a1>a3a0  ⇒  (2)(5)>(1)k  ⇒  10>k.a_2 a_1 > a_3 a_0 \;\Rightarrow\; (2)(5) > (1)k \;\Rightarrow\; 10>k.

Thus, for (strict) asymptotic stability: k<10.k<10.

What about k=10k=10? Then a2a1=a3a0a_2 a_1=a_3 a_0 so the Routh row yields a zero in the auxiliary condition, indicating poles on the imaginary axis (marginal stability). So:

  • Stable for 0≤k<100\le k<10 (and more generally for k<10k<10 with kk not restricted to be nonnegative)
  • Marginal at k=10k=10
  • Unstable for k>10k>10

Key term: Asymptotic stability.

Stability regions vs gain k

Using cubic stability condition 2⋅5>k2\cdot 5 > k.

How the poles move as k increases

Starting poles

k = 0

Poles at s=0s=0 and s=−1±j2s=-1\pm j2."

Stable motion

0 < k < 10

One pole moves along the real-axis locus on (−∞,0)(-\infty,0); the complex pair stays in the left-half plane."

Imaginary-axis crossing

k = 10

Marginal stability occurs (Routh condition becomes equality)."

Unstable motion

k > 10

At least one closed-loop pole moves into the right-half plane."

Common checks and edge cases

Root locus + stability quick self-test

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Question · Term

Characteristic equation for this system

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Answer · Definition

s3+2s2+5s+k=0s^3+2s^2+5s+k=0

Knowledge Check

Question 1 of 4
Q1Single choice

The closed-loop characteristic polynomial for G(s)H(s)=ks(s2+2s+5)G(s)H(s)=\frac{k}{s(s^2+2s+5)} is: