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                       imaginary axis dominate the transient response of y(t). To generalize this observation, let r 1 ,…,r n  be the
                       poles of T(s), such that Re(r k )<<Re(r 2 ) = Re(r 1 ) < 0, for all k ≥  3 . Then, the pair of complex conjugate
                       poles r 1,2  are called the dominant poles. We have seen that the desired transient response properties, e.g.,
                       PO and t s , can be translated into requirements on the location of the dominant poles.


                       26.3 Root Locus Construction

                       As mentioned above, the root locus primarily deals with finding the roots of a characteristic polynomial
                       that is an affine function of a single parameter, K,


                                                     c s() =  Ds() +  KN s()                     (26.5)

                       where D(s) and N(s) are fixed monic polynomials (i.e., coefficient of the highest power is normalized to 1).
                       If N and/or D are not monic, the highest coefficient(s) can be absorbed into K.

                       Root Locus Rules
                       Recall that the usual root locus shows the locations of the closed-loop system poles as K varies from 0
                       to +∞. The roots of D(s), p 1 ,…, p n , are the poles, and the roots of N(s), z 1 ,…, z m , are the zeros, of the
                       open-loop system, G(s) = KF(s). Since P(s) and C(s) are proper, G(s) is proper, and hence n ≥  m . So the
                       degree of the polynomial χ(s) is n and it has exactly n roots.
                         Let the closed-loop system poles, i.e., roots of χ(s), be denoted by r 1 (K),…, r n (K). Note that these are
                       functions of K; whenever the dependence on K is clear, they are simply written as r 1 ,…, r n . The points
                       in   that satisfy (26.5) for some K > 0 are on the root locus. Clearly, a point r ∈    is on the root locus

                       if and only if

                                                                1
                                                          K =  – ----------                      (26.6)
                                                               Fr()

                       The condition (26.6) can be separated into two parts:

                                                                 1
                                                         K =  – -------------                    (26.7)
                                                                Fr()

                                                                                 ±
                                                                             ±
                                      ∠ K =  0° =  ( –  2  + 1) ×  180° ∠ Fr(),   =  0, 1, 2,…  .  (26.8)
                                                               –

                       The phase rule (26.8) determines the points in   that are on the root locus. The magnitude rule (26.7)
                       determines the gain K > 0 for which the root locus is at a given point r. By using the definition of F(s),
                       (26.8) can be rewritten as
                                                           n           m
                                            ( 2  +  1) × 180° = ∑ ∠ ( rp i ) – ∑ ∠ ( rz j )      (26.9)
                                                                 –
                                                                            –
                                                           i=1         j=1
                       Similarly, (26.7) is equivalent to

                                                              n
                                                                 –
                                                        K =  ∏ i=1 rp i                         (26.10)
                                                            --------------------------
                                                              m
                                                                 –
                                                            ∏ j=1 rz j
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