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Optimal control process of heat exchanger networks  449


                     Z
                DZ
                     Z tar
                                               C ˙
                                              c h h
                          c
                                    ˙  t¢            t¢          t²     t²
                                    C h  h            E,h         E,h    h
              t² h,set  Model predictive            ˙
                                                   h
                         controller             (1–c )C h
                                                                 t¢ c  C ˙  c
                                                     t² c
                       u 1  u 2  u 3  u 4
                                                           Heat
                                                         exchanger

              Fig. 9.6 Model predictive feedforward control system.



              parameter is compensated or the target change is carried out. The control
              process is essentially a compensation process.
                 Model predictive feedforward control is an open-loop control, but differ-
              ent from the common open-loop control, where the adjustments of input
              parameters are determined according to the relationships of the transfer func-
              tions (matrix) by applying the inverse Laplace transform to it, here, the model
              predictive controller manipulates according to the solution of transient
              responses of inlet disturbances; thus, better qualities (absolute errors and speed
              limits) are ensured. Especially when a distributed parameter approach is
              adopted to set up the model, the transient responses of the whole system upon
              disturbances can be predicted, including the inner parameters like tempera-
              ture distribution inside the heat exchanger or HEN. This is a great help to
              improve the control quality, for example, when a bypass valve manipulates
              upon a certain disturbance to maintain the target outputs or to switch to a
              new operation state, because of the inertia of the system, quick manipulation
              is expected to eliminate the delay of the outputs, which could result in over-
              adjustment. Small overmanipulation of outputs can usually be tolerated, but
              when the overmanipulation of outputs appears, unacceptable overshot of
              inner parameters such as unexpected high temperature could happen. By dis-
              tributed parameter approach, inner parameters can be calculated at the same
              time so that these can be chosen as special constraints. The other features of
              distributed parameter model predictive control are the following:
              (1) It can be designed for multivariable processes; based on the solution of
                  dynamics of multistream heat exchangers and their networks, a set of
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