Page 870 - Mechatronics with Experiments
P. 870

856   MECHATRONICS

                                          +
                                          +                                                       Scope
                                             Wind-off speed:
                                Wind-off roll  V1(t)
                              speed: magnitude is 2.5
                                   10                                 V1(t)
                                                                                                  Scope 1
                               Wind-off speed:
                               magnitude is 10.0                  w2(t)             y(t)    F(t)
                                         F_d(t)                        V2(t)  –  1        k
                                            +              1                     s
                                            –    Kp      tau_m.s+1   r2     +  Integrator:  Gain:
                                Desired tension  Controller  Transfer Fcn1:  roll radius  speed difference Tension/Displacement
                                 setting: 50     gain   Motor and Amp        to change in length
                                                         k
                                                      Tension sensor
                                                       Web tension control system model














                              FIGURE A.30: Model and simulation of web tension control system. The top figure is the
                                    ®
                              Simulink model of the tension control system. The left plot shows the commanded tension on
                              the top and the actual tension at the bottom. The right plot shows the wind-off and wind-up
                              speeds.


                                                                                     ®
                              Figure A.30 shows the model and simulation conditions in Simulink . The parameters of
                              the system used in the simulation are,
                                                            k = 10 000 N∕m                      (A.40)
                                                          K = 10 m∕s∕m                          (A.41)
                                                            p
                                                              = 0.01 s                          (A.42)
                                                           m
                                                           r = 0.5 m                            (A.43)
                                                            2
                              We will simulate a condition where v (t) has a step change from its nominal value for a
                                                            1
                              period of time.
                                            v (t) = 10.0 + 2.5 f (t)                            (A.44)
                                             1
                                                            1
                                            F (t) = 50 ⋅ step(t − 1.0) ; step function starts at 1.0 s  (A.45)
                                             d
                              where f (t) represents a square pulse function with a period of T = 30 s. The interested
                                    1
                              reader can easily experiment with different control algorithms as well as different process
                              parameters, that is different roll diameter values r .
                                                                     2

                       A.3 STATEFLOW

                              Stateflow (SF) is the graphical modeling software as part of MATLAB ®  that is used to
                              model event-driven systems. Control logic or process dynamic models, which have various
                              modes of operation and are event-driven and supervisory in nature, are best expressed in
   865   866   867   868   869   870   871   872   873   874   875