Page 22 - Distributed model predictive control for plant-wide systems
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           Figure 5.5   Shell heavy oil fractionator benchmark control problem     95
           Figure 5.6   Closed-loop system output responses and manipulated/control
                        signals with no communication failure under the disturbance
                               1         T
                        pattern d =[0.50.5]                                        97
           Figure 5.7   Closed-loop system output responses and manipulated/control
                        signals with no communication failure under the disturbance
                               2
                        pattern d =[−0.5 − 0.5] T                                  97
           Figure 5.8   Closed-loop system output responses and manipulated/control signals
                        with mixed communication failure under the disturbance pattern
                         1
                        d =[0.50.5] T                                              98
           Figure 5.9   Closed-loop system output responses and manipulated/control signals
                        with mixed communication failure under the disturbance pattern
                         2
                        d =[−0.5 − 0.5] T                                          98
           Figure 6.1   Plant with    = 0.1: (a) maximum closed-loop eigenvalues with
                        LCO-DMPC and C-DMPC; (b) control performance with    = 1
                        for LCO-DMPC (blue line, MSE = 0.2568) and C-DMPC (red line,
                        MSE = 0.2086)                                             115
           Figure 6.2   Plant with    = 1: (a) maximum closed-loop eigenvalues with
                        LCO-DMPC and C-DMPC; (b) control performance with    = 1
                        for LCO-DMPC (blue line, MSE = 0.2277) and C-DMPC (red line,
                        MSE = 0.2034)                                             116
           Figure 6.3   Plant with    = 10: (a) maximum closed-loop eigenvalues with
                        LCO-DMPC and C-DMPC; (b) control performance with    = 1for
                        LCO-DMPC (blue line, unstable) and C-DMPC (red line, MSE = 0.1544)  117
           Figure 6.4   The outputs and inputs of each subprocess                 122
           Figure 6.5   The outputs and inputs of the second subprocess           122
           Figure 7.1   ACC process for middle and heavy plates                   138
           Figure 7.2   Control strategy of ACC                                   140
           Figure 7.3   Equilibriums of states of entire system                   141
           Figure 7.4   Performance of close-loop subsystems using centralized MPC,
                        N-DMPC, and the LCO-MPC                                   142
           Figure 7.5   Flux of each header unit using centralized MPC, N-DMPC,
                        and LCO-MPC                                               143
           Figure 7.6   Diagram of a serially connected process                   144
           Figure 7.7   Diagram of the MPC unit for each subsystem                148
           Figure 7.8   Diagram of networked MPC algorithm                        149
           Figure 7.9   Outputs and control signals under the decentralized MPC   155
           Figure 7.10  Outputs and control signals under the LCO-DMPC with Nash
                        optimization                                              155
           Figure 7.11  Outputs and control signals under the N-DMPC iterative algorithm  156
           Figure 7.12  Performance index comparisons for three schemes           156
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