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P In the case \(G(s)\) is a fractional linear transformation, so we know it maps the imaginary axis to a circle. 1 Lecture 1: The Nyquist Criterion S.D. 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 \(\omega\). Looking at Equation 12.3.2, there are two possible sources of poles for \(G_{CL}\). using the Routh array, but this method is somewhat tedious. . ( 20 points) b) Using the Bode plots, calculate the phase margin and gain margin for K =1. is the number of poles of the open-loop transfer function 1 ( ( D 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. the same system without its feedback loop). From now on we will allow ourselves to be a little more casual and say the system \(G(s)\)'. We can show this formally using Laurent series. G s %PDF-1.3 % {\displaystyle F(s)} v Make a mapping from the "s" domain to the "L(s)" *( 26-w.^2+2*j*w)); >> plot(real(olfrf0475),imag(olfrf0475)),grid. {\displaystyle 0+j(\omega +r)} Is the closed loop system stable? {\displaystyle P} The poles are \(-2, -2\pm i\). The feedback loop has stabilized the unstable open loop systems with \(-1 < a \le 0\). s = u ) If we were to test experimentally the open-loop part of this system in order to determine the stability of the closed-loop system, what would the open-loop frequency responses be for different values of gain \(\Lambda\)? 1 The Nyquist plot is named after Harry Nyquist, a former engineer at Bell Laboratories. s l ) Lets look at an example: Note that I usually dont include negative frequencies in my Nyquist plots. shall encircle (clockwise) the point (2 h) lecture: Introduction to the controller's design specifications. + s Complex Variables with Applications (Orloff), { "12.01:_Principle_of_the_Argument" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "12.02:_Nyquist_Criterion_for_Stability" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "12.03:_A_Bit_on_Negative_Feedback" : 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( N . In particular, there are two quantities, the gain margin and the phase margin, that can be used to quantify the stability of a system. We draw the following conclusions from the discussions above of Figures \(\PageIndex{3}\) through \(\PageIndex{6}\), relative to an uncommon system with an open-loop transfer function such as Equation \(\ref{eqn:17.18}\): Conclusion 2. regarding phase margin is a form of the Nyquist stability criterion, a form that is pertinent to systems such as that of Equation \(\ref{eqn:17.18}\); it is not the most general form of the criterion, but it suffices for the scope of this introductory textbook. 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 {\displaystyle G(s)} s travels along an arc of infinite radius by G Lecture 1 2 Were not really interested in stability analysis though, we really are interested in driving design specs. L is called the open-loop transfer function. Pole-zero diagrams for the three systems. This happens when, \[0.66 < k < 0.33^2 + 1.75^2 \approx 3.17. ) represents how slow or how fast is a reaction is. An approach to this end is through the use of Nyquist techniques. The Nyquist stability criterion has been used extensively in science and engineering to assess the stability of physical systems that can be represented by sets of linear equations. ( ( Calculate the Gain Margin. (Using RHP zeros to "cancel out" RHP poles does not remove the instability, but rather ensures that the system will remain unstable even in the presence of feedback, since the closed-loop roots travel between open-loop poles and zeros in the presence of feedback. G The poles of k The only plot of \(G(s)\) is in the left half-plane, so the open loop system is stable. ) Here, \(\gamma\) is the imaginary \(s\)-axis and \(P_{G, RHP}\) is the number o poles of the original open loop system function \(G(s)\) in the right half-plane. {\displaystyle G(s)} While Nyquist is one of the most general stability tests, it is still restricted to linear, time-invariant (LTI) systems. ) Is the open loop system stable? The frequency-response curve leading into that loop crosses the \(\operatorname{Re}[O L F R F]\) axis at about \(-0.315+j 0\); if we were to use this phase crossover to calculate gain margin, then we would find \(\mathrm{GM} \approx 1 / 0.315=3.175=10.0\) dB. Thus, we may find {\displaystyle s} ( The right hand graph is the Nyquist plot. / T One way to do it is to construct a semicircular arc with radius Transfer Function System Order -thorder system Characteristic Equation 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. ) ( {\displaystyle G(s)} s ) In fact, the RHP zero can make the unstable pole unobservable and therefore not stabilizable through feedback.). Open the Nyquist Plot applet at. , e.g. That is, if the unforced system always settled down to equilibrium. For this topic we will content ourselves with a statement of the problem with only the tiniest bit of physical context. Take \(G(s)\) from the previous example. We may further reduce the integral, by applying Cauchy's integral formula. The beauty of the Nyquist stability criterion lies in the fact that it is a rather simple graphical test. ( That is, if all the poles of \(G\) have negative real part. k Additional parameters denotes the number of zeros of The portions of both Nyquist plots (for \(\Lambda=0.7\) and \(\Lambda=\Lambda_{n s 1}\)) that are closest to the negative \(\operatorname{Re}[O L F R F]\) axis are shown on Figure \(\PageIndex{4}\) (next page). ) plane yielding a new contour. u Is the system with system function \(G(s) = \dfrac{s}{(s + 2) (s^2 + 4)}\) stable? for \(a > 0\). The Nyquist plot is the trajectory of \(K(i\omega) G(i\omega) = ke^{-ia\omega}G(i\omega)\) , where \(i\omega\) traverses the imaginary axis. drawn in the complex {\displaystyle P} ) 1 {\displaystyle u(s)=D(s)} yields a plot of Nyquist criterion and stability margins. Non-linear systems must use more complex stability criteria, such as Lyapunov or the circle criterion. It does not represent any specific real physical system, but it has characteristics that are representative of some real systems. When drawn by hand, a cartoon version of the Nyquist plot is sometimes used, which shows the linearity of the curve, but where coordinates are distorted to show more detail in regions of interest. The approach explained here is similar to the approach used by Leroy MacColl (Fundamental theory of servomechanisms 1945) or by Hendrik Bode (Network analysis and feedback amplifier design 1945), both of whom also worked for Bell Laboratories. Since \(G_{CL}\) is a system function, we can ask if the system is stable. The MATLAB commands follow that calculate [from Equations 17.1.7 and 17.1.12] and plot these cases of open-loop frequency-response function, and the resulting Nyquist diagram (after additional editing): >> olfrf01=wb./(j*w.*(j*w+coj). if the poles are all in the left half-plane. G {\displaystyle G(s)} This continues until \(k\) is between 3.10 and 3.20, at which point the winding number becomes 1 and \(G_{CL}\) becomes unstable. = ) The poles of the closed loop system function \(G_{CL} (s)\) given in Equation 12.3.2 are the zeros of \(1 + kG(s)\). We then note that s . If the system is originally open-loop unstable, feedback is necessary to stabilize the system. Precisely, each complex point = For what values of \(a\) is the corresponding closed loop system \(G_{CL} (s)\) stable? {\displaystyle 1+G(s)} s It applies the principle of argument to an open-loop transfer function to derive information about the stability of the closed-loop systems transfer function. The Nyquist stability criterion has been used extensively in science and engineering to assess the stability of physical systems that can be represented by sets of ( The roots of b (s) are the poles of the open-loop transfer function. G {\displaystyle Z} H Step 1 Verify the necessary condition for the Routh-Hurwitz stability. ( ) The Nyquist stability criterion is a stability test for linear, time-invariant systems and is performed in the frequency domain. So the winding number is -1, which does not equal the number of poles of \(G\) in the right half-plane. {\displaystyle {\mathcal {T}}(s)} Based on analysis of the Nyquist Diagram: (i) Comment on the stability of the closed loop system. For closed-loop stability of a system, the number of closed-loop roots in the right half of the s-plane must be zero. inside the contour If \(G\) has a pole of order \(n\) at \(s_0\) then. {\displaystyle 1+kF(s)} , the result is the Nyquist Plot of s . Our goal is to, through this process, check for the stability of the transfer function of our unity feedback system with gain k, which is given by, That is, we would like to check whether the characteristic equation of the above transfer function, given by. Also suppose that \(G(s)\) decays to 0 as \(s\) goes to infinity. The LibreTexts libraries arePowered by NICE CXone Expertand are supported by the Department of Education Open Textbook Pilot Project, the UC Davis Office of the Provost, the UC Davis Library, the California State University Affordable Learning Solutions Program, and Merlot. Accessibility StatementFor more information contact us atinfo@libretexts.orgor check out our status page at https://status.libretexts.org. 0000002847 00000 n G ) Techniques like Bode plots, while less general, are sometimes a more useful design tool. s 0 As a result, it can be applied to systems defined by non-rational functions, such as systems with delays. The theorem recognizes these. In control system theory, the RouthHurwitz stability criterion is a mathematical test that is a necessary and sufficient condition for the stability of a linear time-invariant (LTI) dynamical system or control system.A stable system is one whose output signal is bounded; the position, velocity or energy do not increase to infinity as time goes on. We can factor L(s) to determine the number of poles that are in the s \(G(s) = \dfrac{s - 1}{s + 1}\). F 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). Rule 1. For example, the unusual case of an open-loop system that has unstable poles requires the general Nyquist stability criterion. G(s)= s(s+5)(s+10)500K slopes, frequencies, magnitudes, on the next pages!) + Draw the Nyquist plot with \(k = 1\). Microscopy Nyquist rate and PSF calculator. s ) \(\text{QED}\), The Nyquist criterion is a visual method which requires some way of producing the Nyquist plot. Legal. Nyquist plot of \(G(s) = 1/(s + 1)\), with \(k = 1\). s The Nyquist criterion allows us to answer two questions: 1. Section 17.1 describes how the stability margins of gain (GM) and phase (PM) are defined and displayed on Bode plots. 91 0 obj << /Linearized 1 /O 93 /H [ 701 509 ] /L 247721 /E 42765 /N 23 /T 245783 >> endobj xref 91 13 0000000016 00000 n T G {\displaystyle {\mathcal {T}}(s)} Now how can I verify this formula for the open-loop transfer function: H ( s) = 1 s 3 ( s + 1) The Nyquist plot is attached in the image. gain margin as defined on Figure \(\PageIndex{5}\) can be an ambiguous, unreliable, and even deceptive metric of closed-loop stability; phase margin as defined on Figure \(\PageIndex{5}\), on the other hand, is usually an unambiguous and reliable metric, with \(\mathrm{PM}>0\) indicating closed-loop stability, and \(\mathrm{PM}<0\) indicating closed-loop instability. A I'm confused due to the fact that the Nyquist stability criterion and looking at the transfer function doesn't give the same results whether a feedback system is stable or not. Thus, it is stable when the pole is in the left half-plane, i.e. This case can be analyzed using our techniques. P The negative phase margin indicates, to the contrary, instability. , let We also acknowledge previous National Science Foundation support under grant numbers 1246120, 1525057, and 1413739. gives us the image of our contour under If the system with system function \(G(s)\) is unstable it can sometimes be stabilized by what is called a negative feedback loop. In this case, we have, \[G_{CL} (s) = \dfrac{G(s)}{1 + kG(s)} = \dfrac{\dfrac{s - 1}{(s - 0.33)^2 + 1.75^2}}{1 + \dfrac{k(s - 1)}{(s - 0.33)^2 + 1.75^2}} = \dfrac{s - 1}{(s - 0.33)^2 + 1.75^2 + k(s - 1)} \nonumber\], \[(s - 0.33)^2 + 1.75^2 + k(s - 1) = s^2 + (k - 0.66)s + 0.33^2 + 1.75^2 - k \nonumber\], For a quadratic with positive coefficients the roots both have negative real part. G D and poles of A simple pole at \(s_1\) corresponds to a mode \(y_1 (t) = e^{s_1 t}\). s {\displaystyle F} , we now state the Nyquist Criterion: Given a Nyquist contour The zeros of the denominator \(1 + k G\). 0 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.. \(G(s)\) has a pole in the right half-plane, so the open loop system is not stable. Please make sure you have the correct values for the Microscopy Parameters necessary for calculating the Nyquist rate. This reference shows that the form of stability criterion described above [Conclusion 2.] in the right half plane, the resultant contour in the Suppose that \(G(s)\) has a finite number of zeros and poles in the right half-plane. Figure 19.3 : Unity Feedback Confuguration. j A Nyquist plot is a parametric plot of a frequency response used in automatic control and signal processing. Routh-Hurwitz and Root-Locus can tell us where the poles of the system are for particular values of gain. So in the limit \(kG \circ \gamma_R\) becomes \(kG \circ \gamma\). u It is easy to check it is the circle through the origin with center \(w = 1/2\). ) We present only the essence of the Nyquist stability criterion and dene the phase and gain stability margins. 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 We will look a little more closely at such systems when we study the Laplace transform in the next topic. s The Nyquist method is used for studying the stability of linear systems with ) {\displaystyle Z=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 + {\displaystyle \Gamma _{s}} s is mapped to the point Set the feedback factor \(k = 1\). ) {\displaystyle P} \[G_{CL} (s) \text{ is stable } \Leftrightarrow \text{ Ind} (kG \circ \gamma, -1) = P_{G, RHP}\]. s Routh Hurwitz Stability Criterion Calculator I learned about this in ELEC 341, the systems and controls class. F 0 1This transfer function was concocted for the purpose of demonstration. s In this context \(G(s)\) is called the open loop system function. ( s is not sufficiently general to handle all cases that might arise. In practice, the ideal sampler is replaced by Is the closed loop system stable when \(k = 2\). ) All the coefficients of the characteristic polynomial, s 4 + 2 s 3 + s 2 + 2 s + 1 are positive. plane in the same sense as the contour H "1+L(s)" in the right half plane (which is the same as the number G Counting the clockwise encirclements of the plot GH(s) of the origincontd As we traverse the contour once, the angle 1 of the vector v 1 from the zero inside the contour in the s-plane encounters a net change of 2radians 2. , where In fact, we find that the above integral corresponds precisely to the number of times the Nyquist plot encircles the point ( B Which, if either, of the values calculated from that reading, \(\mathrm{GM}=(1 / \mathrm{GM})^{-1}\) is a legitimate metric of closed-loop stability? Any Laplace domain transfer function Terminology. The formula is an easy way to read off the values of the poles and zeros of \(G(s)\). 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