In this case the winding number around -1 is 0 and the Nyquist criterion says the closed loop system is stable if and only if the open loop system is stable. The assumption that \(G(s)\) decays 0 to as \(s\) goes to \(\infty\) implies that in the limit, the entire curve \(kG \circ C_R\) becomes a single point at the origin. In 18.03 we called the system stable if every homogeneous solution decayed to 0. ) The Nyquist plot of Please make sure you have the correct values for the Microscopy Parameters necessary for calculating the Nyquist rate. {\displaystyle \Gamma _{s}} poles at the origin), the path in L(s) goes through an angle of 360 in ( Since \(G\) is in both the numerator and denominator of \(G_{CL}\) it should be clear that the poles cancel. Conclusions can also be reached by examining the open loop transfer function (OLTF) F ) {\displaystyle s} ) The row s 3 elements have 2 as the common factor. {\displaystyle F(s)} The algebra involved in canceling the \(s + a\) term in the denominators is exactly the cancellation that makes the poles of \(G\) removable singularities in \(G_{CL}\). Z That is, the Nyquist plot is the image of the imaginary axis under the map \(w = kG(s)\). {\displaystyle GH(s)={\frac {A(s)}{B(s)}}} where \(k\) is called the feedback factor. {\displaystyle {\mathcal {T}}(s)} ) If the answer to the first question is yes, how many closed-loop 0 Moreover, we will add to the same graph the Nyquist plots of frequency response for a case of positive closed-loop stability with \(\Lambda=1 / 2 \Lambda_{n s}=20,000\) s-2, and for a case of closed-loop instability with \(\Lambda= 2 \Lambda_{n s}=80,000\) s-2. T , let ) {\displaystyle \Gamma _{s}} Since the number of poles of \(G\) in the right half-plane is the same as this winding number, the closed loop system is stable. s ) The Nyquist Contour Assumption: Traverse the Nyquist contour in CW direction Observation #1: Encirclement of a pole forces the contour to gain 360 degrees so the Nyquist evaluation N 91 0 obj
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{\displaystyle G(s)} By counting the resulting contour's encirclements of 1, we find the difference between the number of poles and zeros in the right-half complex plane of ( Refresh the page, to put the zero and poles back to their original state. As \(k\) goes to 0, the Nyquist plot shrinks to a single point at the origin. ( ) Because it only looks at the Nyquist plot of the open loop systems, it can be applied without explicitly computing the poles and zeros of either the closed-loop or open-loop system (although the number of each type of right-half-plane singularities must be known). In units of Hz, its value is one-half of the sampling rate. u j N {\displaystyle F(s)} Proofs of the general Nyquist stability criterion are based on the theory of complex functions of a complex variable; many textbooks on control theory present such proofs, one of the clearest being that of Franklin, et al., 1991, pages 261-280. L is called the open-loop transfer function. s The poles are \(-2, \pm 2i\). s \(G_{CL}\) is stable exactly when all its poles are in the left half-plane. as defined above corresponds to a stable unity-feedback system when encirclements of the -1+j0 point in "L(s).". Mark the roots of b ) Give zero-pole diagrams for each of the systems, \[G_1(s) = \dfrac{s}{(s + 2) (s^2 + 4s + 5)}, \ \ \ G_1(s) = \dfrac{s}{(s^2 - 4) (s^2 + 4s + 5)}, \ \ \ G_1(s) = \dfrac{s}{(s + 2) (s^2 + 4)}\]. = N The Nyquist criterion is a graphical technique for telling whether an unstable linear time invariant system can be stabilized using a negative feedback loop. Rule 1. The shift in origin to (1+j0) gives the characteristic equation plane. The most common use of Nyquist plots is for assessing the stability of a system with feedback. 0 ) In Cartesian coordinates, the real part of the transfer function is plotted on the X-axis while the imaginary part is plotted on the Y-axis. Another aspect of the difference between the plots on the two figures is particularly significant: whereas the plots on Figure \(\PageIndex{1}\) cross the negative \(\operatorname{Re}[O L F R F]\) axis only once as driving frequency \(\omega\) increases, those on Figure \(\PageIndex{4}\) have two phase crossovers, i.e., the phase angle is 180 for two different values of \(\omega\). represents how slow or how fast is a reaction is. Natural Language; Math Input; Extended Keyboard Examples Upload Random. 2. 0 s s The Nyquist plot is named after Harry Nyquist, a former engineer at Bell Laboratories. + . H s This assumption holds in many interesting cases. + P ( Please make sure you have the correct values for the Microscopy Parameters necessary for calculating the Nyquist rate. 0.375=3/2 (the current gain (4) multiplied by the gain margin Yes! = s ( inside the contour , which is to say our Nyquist plot. ( s We will be concerned with the stability of the system. ) s In using \(\text { PM }\) this way, a phase margin of 30 is often judged to be the lowest acceptable \(\text { PM }\), with values above 30 desirable.. Rule 2. The portion of the Nyquist plot for gain \(\Lambda=4.75\) that is closest to the negative \(\operatorname{Re}[O L F R F]\) axis is shown on Figure \(\PageIndex{5}\). as the first and second order system. To use this criterion, the frequency response data of a system must be presented as a polar plot in 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 mathematical foundations of the criterion can be found in many advanced mathematics or linear control theory texts such as Wylie and Barrett (1982), D'Azzo and {\displaystyle F(s)} ) The poles of \(G(s)\) correspond to what are called modes of the system. ( Now, recall that the poles of \(G_{CL}\) are exactly the zeros of \(1 + k G\). Closed loop approximation f.d.t. ( In fact, the RHP zero can make the unstable pole unobservable and therefore not stabilizable through feedback.). In Cartesian coordinates, the real part of the transfer function is plotted on the X-axis while the imaginary part is plotted on the Y-axis. . must be equal to the number of open-loop poles in the RHP. Lecture 2: Stability Criteria S.D. When the highest frequency of a signal is less than the Nyquist frequency of the sampler, the resulting discrete-time sequence is said to be free of the ( If the number of poles is greater than the number of zeros, then the Nyquist criterion tells us how to use the Nyquist plot to graphically determine the stability of the closed loop system. {\displaystyle \Gamma _{s}} B 1 {\displaystyle D(s)} ( G It is informative and it will turn out to be even more general to extract the same stability margins from Nyquist plots of frequency response. The system with system function \(G(s)\) is called stable if all the poles of \(G\) are in the left half-plane. k ( ( The Nyquist Stability Criteria is a test for system stability, just like the Routh-Hurwitz test, or the Root-Locus Methodology. = F ) Accessibility StatementFor more information contact us atinfo@libretexts.orgor check out our status page at https://status.libretexts.org. 1 travels along an arc of infinite radius by Given our definition of stability above, we could, in principle, discuss stability without the slightest idea what it means for physical systems. k is the number of poles of the closed loop system in the right half plane, and , we now state the Nyquist Criterion: Given a Nyquist contour drawn in the complex s Hence, the number of counter-clockwise encirclements about in the contour Is the open loop system stable? The Nyquist method is used for studying the stability of linear systems with This is possible for small systems. The following MATLAB commands calculate and plot the two frequency responses and also, for determining phase margins as shown on Figure \(\PageIndex{2}\), an arc of the unit circle centered on the origin of the complex \(O L F R F(\omega)\)-plane. The condition for the stability of the system in 19.3 is assured if the zeros of 1 + L are all in the left half of the complex plane. . ( Z denotes the number of zeros of {\displaystyle \Gamma _{s}} Z + ) ) ) are also said to be the roots of the characteristic equation D It can happen! s ( G can be expressed as the ratio of two polynomials: s G Take \(G(s)\) from the previous example. So the winding number is -1, which does not equal the number of poles of \(G\) in the right half-plane. A pole with positive real part would correspond to a mode that goes to infinity as \(t\) grows. This gives us, We now note that ( {\displaystyle 1+G(s)} l G 0000001210 00000 n
+ So in the limit \(kG \circ \gamma_R\) becomes \(kG \circ \gamma\). s j \[G(s) = \dfrac{1}{(s - s_0)^n} (b_n + b_{n - 1} (s - s_0) + \ a_0 (s - s_0)^n + a_1 (s - s_0)^{n + 1} + \ ),\], \[\begin{array} {rcl} {G_{CL} (s)} & = & {\dfrac{\dfrac{1}{(s - s_0)^n} (b_n + b_{n - 1} (s - s_0) + \ a_0 (s - s_0)^n + \ )}{1 + \dfrac{k}{(s - s_0)^n} (b_n + b_{n - 1} (s - s_0) + \ a_0 (s - s_0)^n + \ )}} \\ { } & = & {\dfrac{(b_n + b_{n - 1} (s - s_0) + \ a_0 (s - s_0)^n + \ )}{(s - s_0)^n + k (b_n + b_{n - 1} (s - s_0) + \ a_0 (s - s_0)^n + \ )}} \end{array}\], which is clearly analytic at \(s_0\). Now we can apply Equation 12.2.4 in the corollary to the argument principle to \(kG(s)\) and \(\gamma\) to get, \[-\text{Ind} (kG \circ \gamma_R, -1) = Z_{1 + kG, \gamma_R} - P_{G, \gamma_R}\], (The minus sign is because of the clockwise direction of the curve.) {\displaystyle N=Z-P} Routh Hurwitz Stability Criterion Calculator I learned about this in ELEC 341, the systems and controls class. s As per the diagram, Nyquist plot encircle the point 1+j0 (also called critical point) once in a counter clock wise direction. Therefore N= 1, In OLTF, one pole (at +2) is at RHS, hence P =1. You can see N= P, hence system is stable. {\displaystyle \Gamma _{s}} P ) That is, the Nyquist plot is the circle through the origin with center \(w = 1\). ) {\displaystyle G(s)} We conclude this chapter on frequency-response stability criteria by observing that margins of gain and phase are used also as engineering design goals. {\displaystyle D(s)} If the counterclockwise detour was around a double pole on the axis (for example two G ) times such that k The reason we use the Nyquist Stability Criterion is that it gives use information about the relative stability of a system and gives us clues as to how to make a system more stable. This method is easily applicable even for systems with delays and other non MT-002. (2 h) lecture: Introduction to the controller's design specifications. The value of \(\Lambda_{n s 1}\) is not exactly 1, as Figure \(\PageIndex{3}\) might suggest; see homework Problem 17.2(b) for calculation of the more precise value \(\Lambda_{n s 1}=0.96438\). s = This reference shows that the form of stability criterion described above [Conclusion 2.] D ) s s ( = Instead of Cauchy's argument principle, the original paper by Harry Nyquist in 1932 uses a less elegant approach. Its system function is given by Black's formula, \[G_{CL} (s) = \dfrac{G(s)}{1 + kG(s)},\]. Another unusual case that would require the general Nyquist stability criterion is an open-loop system with more than one gain crossover, i.e., a system whose frequency response curve intersects more than once the unit circle shown on Figure 17.4.2, thus rendering ambiguous the definition of phase margin. Is for assessing the stability of linear systems with This is possible for small systems correct values for the Parameters! 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