Indian Institute of Technology Bombay
Department of Aerospace Engineering
                                  Control Theory - AE308
                                       Autumn 2023-2024
Practice Questions - 2                    Solutions                Autumn Semester 2023
 1.   1. Estimate the values of ζ and ωn by comparing the closed loop transfer function
         with the second order system and then compute the other properties.
      2. Given, percentage overshoot of 5%,
                                          (           )
                                            −ζπ
                                  OS = exp p              = 0.05                    (1)
                                            1 − ζ2
                              −ζπ
                             p         = ln 0.05
                              1 − ζ2
                               ζ 2π2
                                     2
                                       = (ln 0.05)2
                              1−ζ
                                            (ln 0.05)2
                                   ζ2 = 2               =⇒ ζ = 0.69                 (2)
                                         π + (ln 0.05)2
         Given, settling time of 2 sec,
                                      4             2
                              Ts =       = 2 =⇒ ωn = = 2.9 rad/s                    (3)
                                     ζωn            ζ
      3. Referring to the system shown in Figure
                             Figure 1: Closed-loop system.
         For the given system we have,
                         C(s)          K                ωn2
                              = 2                = 2                                (4)
                         R(s)  s + (2 + Kk)s + K  s + 2ζωn s + ωn2
         The system has a damping ratio ζ of 0.7 and an undamped natural frequency
         ωn of 4 rad/sec.. Comparing with the general second order system,
                                K = ωn2 = 16 =⇒ K = 16                              (5)
                          (2 + Kk) = 2ζωn = 2 × 0.7 × 4 =⇒ k = 0.225                (6)
2. System equation when mass m is set into motion by an unit impulse,
                                        mẍ + kx = δ(t)                              (7)
  Consider another impulse function with magnitude A and acts after T time to stop
  the system. Thus, the equation for the system when the two impulse forces are given
  is,
                  mẍ + kx = δ(t) + Aδ(t − T );     x(0−) = 0, ẋ(0−) = 0            (8)
  Laplace transform of equation 8 gives,
                               (ms2 + k)X(s) = 1 + A exp{−sT }                       (9)
  solving for X(s),
                               1      A exp{−sT }
                      X(s) =        +                                              (10)
                               ms2
                                + kp    ms2 + k p
                             1      k/m      A    k/m exp{−sT }
                          =√      2
                                          +√                                       (11)
                             km s + k/m       km   s2 + k/m
  Taking inverse Laplace transform of X(s),
                              r !                r           !
                     1           k       A         k
            x(t) = √     sin       t +√      sin     (t − T ) u(t − T )            (12)
                     km          m        km       m
  If the motion of the mass m is to be stopped at t = T , then x(t) must be identically
  zero for t ≥ 0.
                                                      π    3π    5π
             x(t) = 0 ∀ t ≥ T ;      if, A = 1, T = p    ,p    ,p    ,...          (13)
                                                     k/m   k/m   k/m
  Thus motion of the mass m can be stopped by another impulse force, such as,
                                               π    3π     5π
                Aδ(t − T ) where, A = 1, T = p    ,p     ,p     ,...               (14)
                                              k/m    k/m    k/m
3. G(s) is the open loop transfer function, Then the closed loop transfer function for a
   unity feedback system is,
                        G(s)       Ks + b               Ks + b
                               = 2         =⇒ G(s) =                               (15)
                      1 + G(s)  s + as + b           s(s + a − K)
  Consider ramp input to unity feedback system (R(s) = 1/s2 ), then error is obtained
  is
                                          R(s)          1
                               E(s) =            = 2                               (16)
                                        1 + G(s)  s (1 + G(s))
  The steady state error due to ramp input is,
                                                 1
                       ess = lim sE(s) = lim                                       (17)
                            s→0        s→0 s(1 + G(s))
                                  1         s(s + a − K)   a−K
                          = lim       = lim              =                         (18)
                            s→0 sG(s)   s→0 s(Ks + b)       b
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4. Given, open-loop transfer function is
                                                 K
                                     G(s) =                                         (19)
                                              s(Js + B)
  The closed loop transfer function (unity-feedback control system) is,
                            G(s)        K              ωn2
                 H(s) =            = 2          = 2                                 (20)
                          1 + G(s)  Js + Bs + K  s + 2ζωn s + ωn2
  Consider ramp input to unity feedback system (R(s) = 1/s2 ), then error is obtained
  is
                                       R(s)          1
                            E(s) =            = 2                                   (21)
                                     1 + G(s)  s (1 + G(s))
  The steady state error due to ramp input is,
                                                   1
                          ess = lim sE(s) = lim                                     (22)
                               s→0        s→0 s(1 + G(s))
                                     1         s(Js + B)   B
                             = lim       = lim           =                          (23)
                               s→0 sG(s)   s→0    sK       K
  The steady state error ess can be reduced by increasing gain K or decreasing the
  viscous-friction coefficient B. Increasing gain (K = ωn ) or decreasing the viscous-
  friction coefficient (B = 2ζωn ), however causes the damping ratio (ζ) to decrease,
  with the result that the transient response of the system will become more oscillatory.
5. Reducing the block diagram shown in Figure P5.6 to a single block
                          Figure 2: Block diagram of system
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  Reduced the block diagram is,
  Let, Heq = G2 /G5 + G3 (G4 + G6 G7 ) + G8 and Geq = G1 G5 , then the closed loop
  transfer function is,
                        C(s)        Geq (s)
              T (s) =        =                                                   (24)
                        R(s)   1 + Geq (s)Heq (s)
                                                    G5 G1
                             =                                                   (25)
                                 1 + G1 (G8 G5 + G7 G6 G5 G3 + G5 G4 G3 + G2 )
6. Finding the unity feedback system that is equivalent to the given system,
                           Figure 3: Block diagram of system
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The unity feedback system that is equivalent to the system is,
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                                             5s2 + 2s
                                 T (s) =                        (26)
                                           6s2 + 9s + 6
7.   1. X2 = G12 X1 + G32 X3 + G42 X4 + G52 X5
     2. X3 = G23 X2
     3. X4 = G34 X3 + G44 X4
     4. X5 = G35 X3 + G45 X4
8. Obtaining C(s)/R(s) using Mason’s gain rule
                      Figure 4: Signal flow graph of a system
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      • Forward Path Gain:
                                 P1   = 1 · G2 · G4 · G6 · 1;
                                 P2   = 1 · G3 · G5 · G7 · 1;
                                 P3   = 1 · G2 · G1 · G7 · 1;
                                                                             (27)
                                 P4   = 1 · G3 · G8 · G6 · 1;
                                 P5   = 1 · G2 · G1 − H2 · G8 · G6 · 1;
                                 P6   = 1 · G3 · G8 − H1 · G1 · G7 · 1;
      • Loop Gains:
                                       L1 = −H2 · G5 ;
                                       L2 = −H1 · G4 ;                       (28)
                                       L3 = G1 − H2 · G8 · −H1 ;
      • ∆= 1- loop gains+ non touching loops taken two at a time- non touching
              P             P                                         P
        loops taken three at a time+ . . .
        ∆k = Value of ∆ for the part of graph not touching the k th forward path.
                               ∆ = 1 − (L1 + L2 + L3 ) + L1 · L2 ;
                               ∆1 = 1 − L1 ;
                                                                             (29)
                               ∆2 = 1 − L2 ;
                               ∆3 = 1; ∆4 = 1; ∆5 = 1; ∆6 = 1;
                 C(s)  1
                      = [P1 ∆1 + P2 ∆2 + P3 ∆3 + P4 ∆4 + P5 ∆5 + P6 ∆6 ]     (30)
                 R(s)  ∆
 9. For the characteristic eqaution,
                               s4 + 2s2 + (4 − k)s2 + 9s + 25 = 0            (31)
   the Routh array of coefficients are,
                                 s4       1      (4 + k)   25
                                 s3       2          9      0
                                        2k−1
                                 s2        2
                                                    25
                                       18k−109
                                 s1      2k−1
                                                    0
                                 s0      25
   For stability we require,
                       2k − 1                              18k − 109
                               > 0,                                  >0
                          2                                 2k − 1
                         or, k > 0.5,                      18k > 109
   Thus, For stability we require k > 109/18 = 6.056
10. From the block diagram,
                          C(s)              20K
                               = 3    2
                                                                             (32)
                          r(s)  s + 5s + (4 + 20KKh )s + 20K
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               Figure 5: Servo system with tachometer feedback.
The stability of this system is determined by the characteristic polynomial. The
Routh array of the characteristic eqauation,
                           s3 + 5s2 + (4 + 20KKh )s + 20K = 0                     (33)
the Routh array of coefficients are,
                      s3           1            (4 + 20KKh )
                      s2           5                20K
                      s1     20KKh − 4K + 4           0
                      s0         20K
For stability, we require,
                20KKh − 4K + 4 > 0                            10K > 0
                         5KKh > K − 1                        K>0                  (34)
The stable region in the K −Kh plane is the region that satisfies the two inequalities,
5KKh > K − 1 and K > 0.
                               Figure 6: stable-region
If a point lies in the shaded region the system is stable.
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