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Polar graphs There are a number of polar graph options for studying control systems including the nyquist, inverse polar plot and the nichols plot. The nyquist open loop polar plot indicates the degree of stability, and the adjustments required and provides stability information for systems containing time delays. Polar plots are not used exclusively because,without powerful computing facilities, they can be difficult to generate at a detailed level and they do not directly yield frequency values. The Nyquist plot is obtained by simply plotting a locus of imaginary(G(j ω)) versus Real(G(j ω)) at the full range of frequencies from ( - ¥ to + ¥ ) It is very easy to produce nyquist plots by hand or by using proprietary software packages such as Matlab. Links below show how bode and nyquist plots can be produced using Excel and using Mathcad. The plots below have been produced in minutes using Mathcad.. The nyquist plot fundamentals are shown below....
In control systems a transfer function to be assessed is often of the form
Relative stability assessments Using the Nyquist Plot As identified in the page on frequency response Frequency response The nyquist plots are based on using open loop performance to test for closed loop stability. The system will be unstable if the locus has unity value at a phase crossover of 180 o ( p ). Two relative stability indicators "Gain Margin" and "Phase Margin" may be determined from the suitable Nyquist Plots. The degree of gain margin is indicated as the amount the gain is less than unity when the plot crosses the 180 o axis (Phase crossover). The phase margin is the angle the phase is less than 180 o when the gain is unity. The values are generally identified by use of Bode plots The phase margin is clearly illustrated below
In the nyquist plots below the area covered to the right of the locus(shaded) is the Right Hand Plane (RHP)
The closed loop control system whose open loop transfer function is GH(s) is stable only if.. N = -Po ≤ 0 where1) P o = the number of G(s) poles in the RHP ³ 0 2) N = total number of CW encirclements of the (-1,0) in the G(s) plane. If N > 0 the number of zeros (Z o) in the RHP is determined by Z o = N + P o If N ≤ 0 the (-1,0) point is not enclosed by the nyquist plot. If N ≤ and P 0 then the system is absolutely stable only if N = 0. That is if and only if the (-1,0) point does not lie in the shaded region.. Considering the LH plot above of 1/s(s+1). The (-1,0) point is not in the RHP therefore N<= 0. The poles are at s =0, and s=-1, both outside of the RHP and therefore P o = 0. Thus N = -P o = 0 and the system is therefore stable. Considering the RH plot above of 1/s(s-1). The (-1,0) point is enclosed in the RHP and therefore N > 0 (N= 1). The poles of GH are at s= 0 and s = +1 . S= +1 is in the RHP and therefore P o = 1. N ¹ - P o Indicating that this system is unstable.. There are Z o = N + P o zeros of 1+GH in the RHP. Nyquist Plots A number of typical nyquist plots are shown below to illustrate the various shapes. Plot 1..... 1 /(s + 2)
G(jω) moves from 0 to 0.5 as ω - ¥ to 0 G(j ¥) = 0 The asymptotic angle approaching 0 is = -90 o and Plot 2.....1 /(s 2 + 2s + 2)
G(j ¥) = 0 The asymptotic angle is = -180 o Plot 3.....s(s+1) /(s 3 + 5.s 2 +3.s + 4 )
Plot 4.....(s+1) /[(s+2)(s+3)]
Plot 5.....1 /s(s-1).. an unstable regime
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Last Updated 17/02/2006