📘 Nyquist Stability – Detailed Worked Examples (Clear Understanding)
This section explains Nyquist Stability very slowly and clearly. Each example shows how to calculate P, N and Z step by step.
🔹 Example 1 – No RHP Pole (Simple Case)
Given:
G(s)H(s) = K / [s(1+s)]
Step 1: Count Open-Loop RHP Poles (P)
- Poles at s = 0 and s = -1
- No pole in Right Half Plane
- P = 0
Step 2: Nyquist Encirclement (N)
If Nyquist plot does NOT encircle (-1,0):N = 0
Step 3: Closed-Loop RHP Poles (Z)
Z = N + P Z = 0 + 0 Z = 0
Conclusion: Stable system.🔹 Example 2 – One RHP Pole
Given:
G(s)H(s) = K / [s(s-2)]
Step 1: Count RHP Poles
- One pole at s = 2 (Right Half Plane)
- P = 1
Step 2: Stability Requirement
For closed-loop stability:Z = 0
From formula:Z = N + P
So:0 = N + 1 N = -1
Meaning: Nyquist plot must encircle (-1,0) once in clockwise direction. If not → Unstable.🔹 Example 3 – Two RHP Poles
Given:
G(s)H(s) = K / [(s-1)(s-3)]
Step 1: Count RHP Poles
- Poles at s = 1 and s = 3
- P = 2
Step 2: Stability Condition
For stability:Z = 0 0 = N + 2 N = -2
Nyquist plot must encircle (-1,0) twice clockwise.🔹 Example 4 – Gain Effect
Given:
G(s)H(s) = K / [s(1+s)(1+2s)]
Step 1: P Calculation
All poles in left half plane → P = 0Step 2: Small Gain
Nyquist plot stays away from (-1,0) → N = 0 Z = 0 → StableStep 3: Large Gain
Plot expands and may encircle (-1,0) If encirclement clockwise → N = -1 Z = -1 + 0 = -1 (Not physically valid → unstable) Conclusion: Increasing gain may destabilize system.🔹 Example 5 – Practical GATE Question Type
Given: Open-loop has 1 RHP pole. Nyquist plot encircles (-1,0) once anticlockwise.
Step 1: Identify P
P = 1Step 2: Identify N
Anticlockwise encirclement → N = +1Step 3: Calculate Z
Z = N + P Z = 1 + 1 Z = 2
Conclusion: Two RHP closed-loop poles → Unstable system.🎯 Final Nyquist Procedure (Very Important)
- Count open-loop RHP poles → P
- Check Nyquist encirclement of (-1,0) → N
- Compute Z = N + P
- If Z = 0 → Stable
- If Z > 0 → Unstable
Nyquist = Counting Encirclements for Stability
📘 Nyquist Stability – Advanced Worked Examples (GATE Deep Practice)
These problems strengthen conceptual clarity of Nyquist Stability. Carefully follow P, N and Z calculation in each example.
🔹 Example 6 – Imaginary Axis Pole Case
Given:
G(s)H(s) = K / [s(s+2)]
Step 1: Identify Poles
- Pole at s = 0 (Imaginary axis)
- Pole at s = -2
- No RHP pole → P = 0
Important:
Pole on imaginary axis requires modified Nyquist contour.Step 2: Stability Requirement
Since P = 0:Z = N
If Nyquist does not encircle (-1,0) → Stable If it touches → Marginally stable🔹 Example 7 – Gain Variation Problem
Given:
G(s)H(s) = K / [(s+1)(s+3)]
Step 1: Poles
- All poles in LHP
- P = 0
Step 2: Small K
Plot small, no encirclement → N = 0 Z = 0 → StableStep 3: Increase K
Plot expands. At critical gain, plot touches (-1,0) → Marginal stability.Step 4: Very Large K
Plot encircles once anticlockwise → N = +1Z = 1 + 0 = 1
System becomes unstable.🔹 Example 8 – Two RHP Poles with Mixed Encirclement
Given:
Open-loop has 2 RHP poles Nyquist encircles (-1,0) once clockwise
Step 1: Identify P
P = 2Step 2: Identify N
Clockwise encirclement → N = -1Step 3: Compute Z
Z = N + P Z = -1 + 2 Z = 1
Conclusion: One RHP closed-loop pole → Unstable system.🔹 Example 9 – Zero in Right Half Plane
Given:
G(s)H(s) = K (s-1) / [(s+2)(s+3)]
Step 1: Poles
All poles in LHP → P = 0Step 2: RHP Zero Effect
Zero affects shape but NOT P.Step 3: Encirclement
If no encirclement → N = 0Z = 0 + 0 = 0
System stable. Note: RHP zero does NOT directly affect stability condition.🔹 Example 10 – Marginal Stability Case
Given: Nyquist plot passes exactly through (-1,0)
Meaning:
Closed-loop characteristic equation has imaginary axis root. System is:- Marginally stable
- Sustained oscillations
🔹 Example 11 – Quick Exam Trick
If:
- P = 1
- No encirclement
Z = 0 + 1 = 1
System unstable immediately. No need to draw full plot.🎯 Final Advanced Stability Summary
- P counts only RHP poles (not zeros)
- Clockwise encirclement → Negative N
- Anticlockwise → Positive N
- Z = N + P
- Z must be zero for stability
Nyquist = Count P → Count N → Calculate Z → Decide Stability
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