Basic concepts of root locusIn the previous sections, we have studies that the stability of a system. It depends on the location of the roots of the characteristic equation. We can also say that the stability of the system depends on the location of closedloop poles. Such knowledge of the movement of the poles in the splane when the parameters are varied is important. The minor changes in the parameters can greatly help in the system designing. The nature of the system's transient response is closely related to the location of the poles in the splane. We have also studied the Routh Hurwitz criteria that describe the stability of the algebraic equation. If any of the term in the first column of the Roth table possesses a sign change, the system tends to become unstable. The root locus method was introduced by W.R Evans in 1948. Root locus is a graphical method in which the movement of poles in the splane can be located when a specific parameter is varied from 0 to infinity. The parameter assumed to be varied is generally the gain of the system. Consider the below closed loop system. The equation of a closed loop system is given by: 1 + G(s)H(s) = 0 Where, G(s) is the gain of the transfer function H(s) is the feedback gain In the case of root locus, the gain K is also assumed as part of the closedloop system. K is known as system gain or the gain in the forward path. The characteristic equation after including the forward gain can be represented as: 1 + KG'(s)H(s) = 0 Where, G(s) = KG'(s) When the system includes the variable parameter K, the roots of the closed loop system are now dependent on the values of 'K.' The value of 'K' variable can vary in two cases, as shown below: In the first case, for every different value (integer or decimal) of K, we will get separate set of locations of the roots. If all such locations are joined, the resulting plot is defined as the root locus. We can also define root locus as the locus of the closed loop poles obtained when the system gain 'K' is varied from infinity to infinity. When the K varies from zero to infinity, the plot is called the direct root locus. If the system gain 'K' varies from infinity to zero, the plot thus obtained is known as inverse root locus. The gain K is generally assumed from zero to infinity unless specially stated. Let's consider an example. Example: Obtain the root locus of the unity feedback system with G(s) = K/s. As given, it is a unity feedback system. It means that H(s) = 1. We know, 1 + G(s)H(s) = 0 1 + K/s = 0 S + K = 0 The roots of the above equation are located at s = K. As per the condition, the system gain K varies from zero to infinity unless states. Thus, we will obtain the root locus by joining all such locations when K varies from zero to infinity. The values of the roots of the given equation at different values of K are given in the below table:
The plot of the root locus for the above values of K is shown below: Uses of Root LocusIn addition in determining the stability of the system, root locus also helps to determine:
Advantages of Root locusThe advantages of root locus are as follows:
