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Nyquist Plot
-By Prof. Mrunal Deshkar
Nyquist Stability Criterion
The Nyquist stability criterion works on the principle of argument. It states that if
there are (P) poles and (Z) zeros are enclosed by the ‘s’ plane closed path, then
the corresponding G(s)H(s) plane must encircle the origin P−Z times. So, we can
write the number of encirclements N as,
N=P−Z
•If the enclosed ‘s’ plane closed path contains only poles, then the direction of the
encirclement in the G(s)H(s) plane will be opposite to the direction of the
enclosed closed path in the ‘s’ plane.
•If the enclosed ‘s’ plane closed path contains only zeros, then the direction of the
encirclement in the G(s)H(s) plane will be in the same direction as that of the
enclosed closed path in the ‘s’ plane.
The closed loop control system is stable if all the poles of the closed loop transfer
function are in the left half of the ‘s’ plane
•The Poles of the characteristic equation are same as that of the poles of the open loop
transfer function.
•The zeros of the characteristic equation are same as that of the poles of the closed loop
transfer function.
The open loop control system is stable if there is no open loop pole in the the right half
of the ‘s’ plane.
i.e.,P=0 N=−Z⇒
The closed loop control system is stable if there is no closed loop pole in the right half of
the ‘s’ plane.
i.e.,Z=0 N=P⇒
Nyquist stability criterion states the number of encirclements about the critical point
(1+j0) must be equal to the poles of characteristic equation, which is nothing but the
poles of the open loop transfer function in the right half of the ‘s’ plane. The shift in
origin to (1+j0) gives the characteristic equation plane.
Stability Analysis using Nyquist Plots
From the Nyquist plots, we can identify whether the control system is stable, marginally
stable or unstable based on the values of these parameters.
•Gain cross over frequency and phase cross over frequency
•Gain margin and phase margin
Phase Cross over Frequency
The frequency at which the Nyquist plot intersects the negative real axis (phase angle is
1800
) is known as the phase cross over frequency. It is denoted by ωpc.
Gain Cross over Frequency
The frequency at which the Nyquist plot is having the magnitude of one is known as
the gain cross over frequency. It is denoted by ωgc.
The stability of the control system based on the relation between phase cross over frequency
and gain cross over frequency is listed below.
If the phase cross over frequency ωpc is greater than the gain cross over frequency ωgc,
then the control system is stable.
If the phase cross over frequency ωpc is equal to the gain cross over frequency ωgc, then
the control system is marginally stable.
If phase cross over frequency ωpc is less than gain cross over frequency ωgc, then the
control system is unstable.
Gain Margin
The gain margin GM is equal to the reciprocal of the magnitude of the Nyquist
plot at the phase cross over frequency.
GM=1Mpc
Where, Mpc is the magnitude in normal scale at the phase cross over frequency.
Phase Margin
The phase margin PM is equal to the sum of 1800
 and the phase angle at the gain
cross over frequency.
PM=180+ gcϕ
Where,  gc is the phase angle at the gain cross over frequency.ϕ
The stability of the control system based on the relation between the gain margin
and the phase margin is listed below.
If the gain margin GM is greater than one and the phase margin PM is positive,
then the control system is stable.
If the gain margin GM is equal to one and the phase margin PM is zero degrees,
then the control system is marginally stable.
If the gain margin GM is less than one and / or the phase margin PM is negative,
then the control system is unstable.
Procedure of Nyquist Plot
1. Express the magnitude and phase equations in terms of ω
2. Estimate the magnitude and phase for different values of ω.
3. Draw the polar plot by varying ω from zero to infinity. If pole or zero present at
s = 0, then varying ω from 0+ to infinity for drawing polar plot.
4. Draw the mirror image of above polar plot for values of ω ranging from −∞ to
zero (0−
 if any pole or zero present at s=0).
5. The number of infinite radius half circles will be equal to the number of poles
or zeros at origin. The infinite radius half circle will start at the point where the
mirror image of the polar plot ends. And this infinite radius half circle will end at
the point where the polar plot starts.
Example
solution
Im#
Example
solution
The processes of the Nyquist Plot.
Thank you

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Nyquist plot

  • 1. Nyquist Plot -By Prof. Mrunal Deshkar
  • 2. Nyquist Stability Criterion The Nyquist stability criterion works on the principle of argument. It states that if there are (P) poles and (Z) zeros are enclosed by the ‘s’ plane closed path, then the corresponding G(s)H(s) plane must encircle the origin P−Z times. So, we can write the number of encirclements N as, N=P−Z •If the enclosed ‘s’ plane closed path contains only poles, then the direction of the encirclement in the G(s)H(s) plane will be opposite to the direction of the enclosed closed path in the ‘s’ plane. •If the enclosed ‘s’ plane closed path contains only zeros, then the direction of the encirclement in the G(s)H(s) plane will be in the same direction as that of the enclosed closed path in the ‘s’ plane.
  • 3. The closed loop control system is stable if all the poles of the closed loop transfer function are in the left half of the ‘s’ plane •The Poles of the characteristic equation are same as that of the poles of the open loop transfer function. •The zeros of the characteristic equation are same as that of the poles of the closed loop transfer function. The open loop control system is stable if there is no open loop pole in the the right half of the ‘s’ plane. i.e.,P=0 N=−Z⇒ The closed loop control system is stable if there is no closed loop pole in the right half of the ‘s’ plane. i.e.,Z=0 N=P⇒ Nyquist stability criterion states the number of encirclements about the critical point (1+j0) must be equal to the poles of characteristic equation, which is nothing but the poles of the open loop transfer function in the right half of the ‘s’ plane. The shift in origin to (1+j0) gives the characteristic equation plane.
  • 4. Stability Analysis using Nyquist Plots From the Nyquist plots, we can identify whether the control system is stable, marginally stable or unstable based on the values of these parameters. •Gain cross over frequency and phase cross over frequency •Gain margin and phase margin Phase Cross over Frequency The frequency at which the Nyquist plot intersects the negative real axis (phase angle is 1800 ) is known as the phase cross over frequency. It is denoted by ωpc. Gain Cross over Frequency The frequency at which the Nyquist plot is having the magnitude of one is known as the gain cross over frequency. It is denoted by ωgc. The stability of the control system based on the relation between phase cross over frequency and gain cross over frequency is listed below. If the phase cross over frequency ωpc is greater than the gain cross over frequency ωgc, then the control system is stable. If the phase cross over frequency ωpc is equal to the gain cross over frequency ωgc, then the control system is marginally stable. If phase cross over frequency ωpc is less than gain cross over frequency ωgc, then the control system is unstable.
  • 5. Gain Margin The gain margin GM is equal to the reciprocal of the magnitude of the Nyquist plot at the phase cross over frequency. GM=1Mpc Where, Mpc is the magnitude in normal scale at the phase cross over frequency. Phase Margin The phase margin PM is equal to the sum of 1800  and the phase angle at the gain cross over frequency. PM=180+ gcϕ Where,  gc is the phase angle at the gain cross over frequency.ϕ The stability of the control system based on the relation between the gain margin and the phase margin is listed below. If the gain margin GM is greater than one and the phase margin PM is positive, then the control system is stable. If the gain margin GM is equal to one and the phase margin PM is zero degrees, then the control system is marginally stable. If the gain margin GM is less than one and / or the phase margin PM is negative, then the control system is unstable.
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  • 7. Procedure of Nyquist Plot 1. Express the magnitude and phase equations in terms of ω 2. Estimate the magnitude and phase for different values of ω. 3. Draw the polar plot by varying ω from zero to infinity. If pole or zero present at s = 0, then varying ω from 0+ to infinity for drawing polar plot. 4. Draw the mirror image of above polar plot for values of ω ranging from −∞ to zero (0−  if any pole or zero present at s=0). 5. The number of infinite radius half circles will be equal to the number of poles or zeros at origin. The infinite radius half circle will start at the point where the mirror image of the polar plot ends. And this infinite radius half circle will end at the point where the polar plot starts.
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  • 10. Im#
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  • 13. The processes of the Nyquist Plot.