Page 29 - Distributed model predictive control for plant-wide systems
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Introduction                                                             3




                              y 1
                                           Heater4  Thermal
                              u 1              Senser1           S 1

                                                          Thermal
                              y 2                         transfer
                                           Heater3  Thermal
                              u 2              Senser2           S 2


                                                          Thermal
                              y 3                         transfer
                                           Heater2  Thermal
                              u 3              Senser3           S 3


                                                          Thermal
                              y 4                         transfer
                                           Heater1  Senser4      S 4
                              u 4              Thermal



                          Figure 1.2 The multizone building temperature regulation system



                                Wind power                Community
                                 station




                            Thermal                               Thermal
                          power plant                            power plant



                                                         Industrial
                                 Photovoltaic
                                                        consumers
                             Figure 1.3  Distributed power generation power network



             1.2  Control System Structure of the Plant-Wide System
             The control structure is a very general concept. It includes how to schedule the controllers, and
             the inputs/outputs of each controller. The control system structure of the plant-wide system
             is shown in Figure 1.4, which is a hierarchical structure. The top layer, denoted as layer 4, is
             a steady economic optimization layer which is used to optimize the key process parameters,
             e.g., the product quantity, product quality, feeding material quality, etc. Layer 3 is a real-time
             optimization layer which dynamically optimizes the set-point of the multivariable layers.
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