Page 326 - Distributed model predictive control for plant-wide systems
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300 Index
Distributed predictive control (DMPC) Hierarchical distributed MPC, 42–3
(continued) High speed train control, DMPC, 263–78
classification, 11–13 conclusion, 278
DMPC, what is, 10 introduction, 263–4
DMPC, why, 9 N-DMPC for high speed train, 264–6
Pareto optimality, 114, 118–23 force analysis, EMUs, 266–7
algorithm, DMPC based on Pareto spring-mass model, 267
optimality, 119 model of CRH2, 267–71
convergence analysis, 121 optimization problem, 272
convergence condition, 121 performance index, 271
DMPC, plant-wide optimality, types of force, 264–6
119–20 brake of EMUs, 265–6
explicit solution, 120 resistance of EMUs, 264–5
formulation, 118–19 traction of EMUs, 264
optimal control law, centralized simulation, 272–8
MPC, 20 parameters of CRH2, 272
simulation, 121–3 results, comments, 274–8
Distributed system, 48–53 simulation matrix, 273–4
downstream neighboring subsystem, system description, 264
68 Hot-rolled strip laminar cooling process,
mathematic model, 48–50 239–40
input interacted model, 49 coiling temperature (CT), 240
state interacted model, 49 cooling curve, 242
subsystem model, 48 fine cooling section, 240–241
upstream neighboring subsystem, 68 finishing mill, 240
Dual mode predictive control, 33–7 finishing rolling temperature (FT), 240
algorithm, 35 main cooling section, 240
feasibility, 36 pinch roll, 240
formulation, 34 strip steel, 241, 251
invariant region, 33 water-cooling section, 240
optimization problem, 34–5 Hot-rolled strip laminar cooling process,
predictive model, 34 DMPC, 239–61
stability, 36–7 conclusions, 258, 261
Dynamic matrix control (DMC), 20–6 control strategy of HSLC, 244–51
algorithm, 26 extended Kalman filter, 247
DMC with constraint, 24–6 iterative algorithm, 249–51
feedback correction, DMC, 23–4 local MPC formulation, 248–9
input increment constraint, 25 predictor, 247
input magnitude constraint, 26 state space model, 244–7
optimization, 22–3 experimental results, 256–60
output constraint, 24 run-out table pilot apparatus, 258
prediction model, 22 structure, experimental system, 257
step response model, 21 introduction, 239–40
laminar cooling of hot-rolled strip,
First-principle model, 27 240–244
Foundation, 17–64 description, 240–241
