Jury Stability Test

April 4, 2018 | Author: Sunil Giri | Category: Stability Theory, Control Theory, Equations, Mathematical Objects, Mathematical Analysis


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1 Stability Analysis of closed loop system in z-planeThe stability of the following closed loop system can be determined from the location of closed loop poles in z-plane which are the roots of the characteristic equation 1. For the system to be stable, the closed loop poles or the roots of the characteristic equation must lie within the unit circle in z-plane. Otherwise the system would be unstable. 2. If a simple pole lies at , the system becomes marginally stable. Similarly if a pair of complex conjugate poles lie on the marginally stable. Multiple poles at the same location on unit circle make the system unstable. circle, the system is Example 1: Determine the closed loop stability of the system shown in Figure 1 when K = 1. Figure 1: Example 1 Solution: Since , and can be simplified as We know that the characteristics equation is Since <1. Three stability tests can be applied directly to the characteristic equation without solving for the roots.1 Jury Stability Test Assume that the characteristic equation is a polynomial in z as follows. Jury Table 1 2 3 4 5 6 . . where . Computation requirements in Jury test is simpler than SchurCohn when the co-efficients are real which is always true for physical systems. Other stability tests like Lyapunov stability analysis are applicable for state space system models which will be discussed later. thus the system is stable. . . 1. → Schur-Cohn stability test → Jury Stability test → Routh stability coupled with bi-linear transformation. where. This system will be stable if: Example 2: The characteristic equation is Thus.. . 1. Find out the range of K for which the system is stable. Second condition is satisfied. Thus the system is stable. The elements are . 2. First condition is satisfied. First condition is satisfied. 3. . Example 4: Consider the system shown in Figure 1. Stability conditions are: 1. indicates the The stability range of a parameter can also be found from Jury's test which we will see in the next example. we may stop the test here and conclude that the system is unstable. Example 3: The characteristic equation is Thus . 2. or presence of a root on the unit circle and in that case the system can at the most become marginally stable if rest of the conditions are satisfied. Third condition is satisfied. One can see All criteria are satisfied. Next we will construct the Jury Table. Second condition is not satisfied. Jury Table Rest of the elements are also calculated in a similar fashion. Since one of the criteria is violated.We will now check the stability conditions. system becomes critically stable. The difference between the number of zeros found inside or outside the unit circle when the unit circle is expanded or contracted is the number of zeros on the unit circle. the range of K is found to be 0 < K < 2. rad/sec The above frequency is the frequency of sustained oscillation. 1. This is referred to as a singular case. Combining all. The where ε is a very small number.39 . indicates the presence of roots on the unit circle. The characteristics equation becomes: Sampling period T = 1 sec.2 Singular Cases The situation. . If K = 2.Solution: The closed loop transfer function: Characteristic equation: Since it is a second order system only 3 stability conditions will be there. When ε is positive the unit circle is expanded and when ε is negative the unit circle is contracted. when some or all of the elements of a row in the jury table are zero.39 . It can be avoided by expanding or contracting unit circle infinitesimally by an amount transformation is: ε which is equivalent to move the roots of P(z) off the unit circle. Second condition is satisfied. we know that some of the roots lie on the unit circle. 3.Since for both positive and negative ε. the characteristic equation would become: First Jury Table three stability conditions are satisfied when ε → 0+. First condition is satisfied. Example 5: The characteristic equation: Thus. the transformation requires the coefficient of the zn term be multiplied by . Jury Table Since the element b1 is zero. 2. . We will now check the stability conditions. 1. If we replace z by (1 + ε) z. Third condition is satisfied. . Since. .and . The roots of the characteristic equation are found out to be ±i and – 0.25 which verifies our conclusion. thus which implies that the roots which are not on the unit circle are actually inside it and the system is marginally stable. when ε → 0+. .
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