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)})
We consider the (unity-feedback) closed-loop characteristic condition for the open-loop product : [ 1+L(s)=0 \quad \Longleftrightarrow \quad L(s)=-1. ] Nyquist stability criterion states that if is the number of open-loop poles in the right-half plane (RHP) and is the net number of clockwise encirclements of the critical point , then the closed-loop RHP pole count is [ Z = N + P, ] where is the number of closed-loop poles in the RHP (for the standard closed-loop characteristic ).
For our system, [ L(s)=\frac{10(s+0.5)}{s^2(s+2)(s+10)}. ] The open-loop poles are at (double), , and ; there are no poles in the open RHP, so [ P=0. ] Therefore, closed-loop stability reduces to showing that , i.e., that the Nyquist plot makes no net encirclements of : [ 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
- 1Step 1
Factor denominator: . All poles are at (double), , . There are no poles with , so . Note: lies on the imaginary axis; Nyquist analysis assumes a standard indentation/limit handling for axis poles.
- 2Step 2
Closed-loop poles occur where , i.e., where . The Nyquist plot of tracks the complex values approached as frequency varies.
- 3Step 3
Substitute :
Since , the denominator contributes a sign flip and frequency-dependent phase through .
- 4Step 4
A net encirclement requires the locus to wrap around the -1 point. Practical checking starts with the condition 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.
- 5Step 5
With , closed-loop stability requires . Determine from the net clockwise encirclement count around -1. If the plot does not encircle -1 (and handles axis poles appropriately), then and the closed-loop is stable.
1) Characteristic equation (for interpretation)
The Nyquist condition 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 values where the Nyquist plot would imply (i.e., where the closed-loop poles lie).
Key terms used: characteristic equation; Nyquist mapping; [imaginary-axis poles]{def="Poles on that require indentation in Nyquist"}.
2) Nyquist encirclement logic for stability (with )
Because , the Nyquist encirclement count directly equals the number of RHP closed-loop poles: [ Z=N. ] So we need to determine whether the locus of encircles .
For this particular rational function:
- The phase contributed by the denominator is dominated by the term (two poles at the origin) and by stable real poles at and .
- The numerator has one stable zero at .
- The magnitude of decays for large because the denominator has four more powers of than the numerator (relative degree 3? actually: numerator , denominator so as ). Thus, [ L(j\omega)\to 0 \quad \text{as } \omega\to\infty. ]
- Near , the in the denominator makes the magnitude blow up like (since the numerator approaches while denominator ), implying the Nyquist curve starts far away from the origin and is constrained by the sign/phase of the small- behavior.
Now, because 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 .
For systems with no RHP open-loop poles (), a common outcome is that the closed loop remains stable if the Nyquist locus does not encircle -1. The closed-loop characteristic polynomial can be used as an equivalent check: if has no RHP roots, then , hence .
Key terms used: encirclement test.
type="tip" title="How to connect Nyquist results to a polynomial safely" content="Use to form the characteristic polynomial . If you conclude from Nyquist (i.e., since ), then must have no RHP roots."
type="warning" title="Poles on the imaginary axis (here at ) need careful handling" content="Nyquist analysis for 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 . Under the Nyquist criterion framework with , this corresponds to a net encirclement count [ N=0, ] so the Nyquist plot does not make a net clockwise encirclement of .
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 in the RHP; here ."
Critical equation
2) Apply mappingClosed-loop poles satisfy ⇔ ."
Encirclement count
3) Inspect Nyquist contourDetermine net encirclements around (with axis-pole indentation)."
Compute $Z$
4) Decide stabilityUse ; with , stable iff ."
Closed-loop stability indicators via Nyquist (conceptual counts)
Since , stability depends solely on encirclements around .
Nuances and edge cases
Knowledge Check
For unity feedback with open-loop transfer , the closed-loop poles satisfy which condition?